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*UPGRADE IN PROGRESS* -- CareerCircle is upgrading its capabilities and as a result the system may be temporarily unavailable as we bring new capabilities and infrastructure online to better serve our members.&nbsp; If you receive an error during this timeframe please bear with us as we're working to improve our system and you may need to retry that operation at a later time.&nbsp; &nbsp;

Meta is seeking a Machine Learning SoC Architect to join its silicon team within the Infrastructure organization which is responsible for designing and operating all of Meta's Data Centers. These Data Centers are the foundation upon which our rapidly scaling business operates, and upon which all of our services such as Facebook, Instagram, Messenger, WhatsApp etc. are delivered to our worldwide user base consisting of approximately half of the world's population.This silicon team is responsible for building hardware accelerators for Data Center servers, to offload the most computationally demanding workloads and execute them with higher performance and lower energy consumption as compared to running them on the CPU/GPU of the server. This is a architect role in which you will be defining the architecture of the next generation of Machine Learning ASICs being built on the most modern process technologies and featuring industry leading performance and feature sets. Machine Learning SoC Architect Responsibilities: <ul><li>Work on algorithm analysis, performance analysis and architecture definition of Machine Learning ASICs.</li><li>Map Data Center workloads to heterogeneous ASICs that contain multiple different programmable processors and hardware accelerators. Perform detailed calculations to specify computation throughput, memory bandwidth and latency</li><li>evaluate performance v/s area v/s power tradeoffs.</li><li>Drive the architecture definition of one or more of the following ASIC sub-systems: compute, memory, Network-On-Chip (NoC), collectives, debug etc. and chiplet based multi-die SoCs.</li><li>Identify appropriate workloads and micro-benchmarks to be used for performance analysis and drive this analysis on simulation and emulation platforms to define and validate the architecture.</li><li>Evangelize your innovative architectural solutions with your peers and leadership, while mentoring members of the architecture team.</li><li>Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, Pre-Post silicon validation and Program Management to deliver first pass functional silicon on an aggressive schedule.</li><li>Collaborate with software and firmware teams to ensure that the ASIC meets end to end application performance goals while maintaining ease and efficiency of software development.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Experience and knowledge of Computer Architecture concepts such as microprocessor architecture, memory systems, on-chip interconnection networks, hardware/software partitioning etc.</li><li>20+ years of prior experience in defining and delivering multiple high performance ASICs into production, with focus on architecture definition and performance analysis.</li></ul>Preferred Qualifications: <ul><li>Master's or PhD degree in Electrical Engineering, Computer Engineering or related field.</li><li>Domain knowledge in one or more of power/performance tradeoffs, digital signal processing, ML networks, ML frameworks such as Pytorch.</li><li>Programming in C or C++ with knowledge of mapping hardware algorithms to efficient C/C++ code.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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Machine Learning SoC Architect

Meta is actively seeking Software Engineers to help build and scale our rapidly evolving network infrastructure. We are looking for Software Engineers with a passion for networking and aptitude for building scalable distributed systems. As a member of this small and growing team, you will be in charge of designing and implementing how we build, model, analyze and monitor Meta's current and next generation networks. In addition to software development, your duties may involve evaluating third party and open source software, interacting with various other Engineering teams and working with network hardware vendors. There is a wide range of areas to work on, spanning next-gen datacenter networking architecture (e.g., OpenFlow or similar technologies for software defined networking), software systems to configure, monitor, analyze, model, and manage our datacenter, backbone, and content delivery networks. This is a full-time position. Software Engineer, Network Responsibilities: <ul><li>Develop software to scale the production network</li><li>Work with networking devices and protocols</li><li>Integrate with other systems, evaluate third party solutions</li><li>Collaborate with Network Engineering team to automate various processes, build software infrastructure for network monitoring and analysis, aid in capacity planning and architecture change analysis</li></ul>Minimum Qualifications: <ul><li>Experience with network devices (routers, switches, load balancers) and an understanding of network routing protocols</li><li>Web traffic experience related to data centers and websites</li><li>Experience with design and implementation of network management systems</li><li>5+ years of experience in C/C++ and Python</li><li>5+ years experience in Systems programming, TCP/IP, HTTP/HTTPS, SPDY, DNS, and load balancers</li><li>Knowledgeable with MySQL databases</li><li>Understanding of the Linux operating system</li><li>Experience debugging issues within custom code</li><li>High aptitude and technology-agnostic approach to engineering</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Software Engineer, Network

We are looking for researchers and applied scientists to join the Central Applied Science team. Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to Meta's success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas including artificial intelligence, machine learning, statistics, causal inference and experimentation. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems. Research Scientist, Central Applied Science (PhD) Responsibilities: <ul><li>Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.</li><li>Develop novel quantitative methods on top of Meta's unparalleled data infrastructure.</li><li>Work towards long-term ambitious research goals, while identifying intermediate milestones.</li><li>Communicate best practices in quantitative analysis to partners.</li><li>Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.</li><li>Actively identify new opportunities within Meta's long term roadmap for data science contributions.</li></ul>Minimum Qualifications: <ul><li>Currently has or is in the process of obtaining a PhD in the field of Computer Science, Statistics, Operations Research, or a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li><li>Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li><li>Experience with empirical research and for answering questions with data.</li><li>Experience developing algorithms in languages like Python, C, C++ or Java.</li><li>Experience analyzing datasets using languages like Python or R.</li><li>Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.</li></ul>Preferred Qualifications: <ul><li>Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.</li><li>Experience working and communicating cross functionally in a team environment.</li><li>Experience analyzing large datasets using tools like Presto, Hive or Spark.</li><li>Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences such as KDD, EC, ICML, NeurIPS, or similar.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Research Scientist, Central Applied Science (PhD)

Meta Reality Labs is looking for a Research Engineer to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we're building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively using electromyography (EMG). Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, and human-computer interaction. We're looking for people who want to shape the future of this technology and are excited about joining our collaborative research team. As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda. Research Engineer - Reality Labs Responsibilities: <ul><li>Research and develop Deep Learning or other computational models with at least one of Computer Vision, and EMG signal processing.</li><li>Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets.</li><li>Collaborate with research scientists and research engineers to develop innovative deep learning models that define the next generation EMG-based AR/VR interaction techniques.</li><li>Define short-term research goals, informed by practical engineering concerns.</li><li>Help transition and deliver our work from research into product.</li><li>Adapt standard machine learning methods to best utilize modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Masters degree in Computer Science, Computer Engineering, or relevant technical field.</li><li>Experience with developing machine learning models at scale from inception to business impact.</li><li>Research experience in machine learning and deep learning.</li><li>Programming experience in Python and hands-on experience with frameworks such as PyTorch.</li><li>Exposure to architectural patterns of large scale software applications.</li><li>Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.</li></ul>Preferred Qualifications: <ul><li>Ph.D. degree and publications in machine learning, signal processing, electrical engineering, computer science, statistics, physics, or related fields.</li><li>First-author publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL).</li><li>Comfort with rapid prototyping and disciplined software development processes.</li><li>Experience with productizing new research results.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Research Engineer - Reality Labs

Meta Reality Labs is looking for a Research Engineer to help us unleash human potential by eliminating the bottlenecks between intent and action. To achieve this, we're building a practical neural interface drawing on the rich neuromotor signals that can be measured non-invasively using electromyography (EMG). Our research lies at the intersection of computational neuroscience, machine learning, signal processing, statistics, biophysics, motor learning, AR/VR and human-computer interaction. We're looking for people who want to shape the future of this technology and are excited about joining our collaborative research team. As a Research Engineer working at the Reality Labs, you will be responsible for the implementation and acceleration of our EMG machine learning platform; creating new AI models, tools, and infrastructure that unlock the capabilities of our technology; productionizing our research results, and working with scientists, software engineers, hardware engineers and designers to advance the company's AI-driven AR/VR agenda. Research Engineer - Reality Labs Responsibilities: <ul><li>Research and develop Deep Learning or other computational models with at least one of Computer Vision, Natural Language Processing, and EMG signal processing.</li><li>Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets.</li><li>Collaborate with research scientists and research engineers to develop innovative deep learning models that define the next generation EMG-based AR/VR interaction techniques.</li><li>Define short-term research goals, informed by practical engineering concerns.</li><li>Help transition and deliver our work from research into product.</li><li>Adapt standard machine learning and signal processing methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU).</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>Masters degree in Computer Science, Computer Engineering, or relevant technical field.</li><li>Experience with developing machine learning models at scale from inception to business impact.</li><li>Research experience in machine learning, deep learning, computer vision and/or natural language processing.</li><li>Programming experience in Python and hands-on experience with frameworks such as PyTorch.</li><li>Exposure to architectural patterns of large scale software applications.</li></ul>Preferred Qualifications: <ul><li>Ph.D. degree and publications in machine learning, speech and language technologies, signal processing, electrical engineering, computer science, computational neuroscience, statistics, physics, or related fields.</li><li>First-author publications at peer-reviewed AI or signal processing conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, Interspeech and ICASSP).</li><li>Comfort with rapid prototyping and disciplined software development processes.</li><li>Experience with productizing new research results.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

The Reality Labs and AI teams at Meta are helping more people around the world come together and connect through world-class Augmented, Mixed and Virtual Reality hardware and software. With global departments dedicated to AR/VR research, computer vision, haptics, social interaction, and more, we are committed to driving the state-of-the-art forward through relentless innovation. AR/VR's potential to change the world is immense -- and were just getting started.Our Core Tech teams explore, develop, and deliver new cutting-edge technologies that serve as the foundation of current and future Reality Labs products. From mixed reality and human interaction to natural input and beyond, these teams are focused on taking new technologies from early concept to the product level while iterating, prototyping, and realizing the human value and new experiences they open up. Software Engineer, Computer Vision (Technical Leadership) Responsibilities: <ul><li>Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient</li><li>Invent, analyze, design, develop and optimize real time VR and AR computer vision algorithms in areas related to 3D reconstruction, SLAM, object detection and tracking, sensor fusion and camera calibration</li><li>Technically lead in a team environment across multiple scientific and engineering disciplines, making the architectural trade-offs required to rapidly deliver software solutions</li><li>Develop software for a variety of consumer devices, including novel sensing systems, tracking systems, imaging systems and haptic devices</li><li>Effectively communicate complex features and systems in detail</li><li>Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency</li><li>Learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR and VR problem solving</li><li>Understand industry & company-wide trends to help assess & develop new technologies</li><li>Partner & collaborate with organization leaders to help improve the level of performance of the team & organization</li><li>Identify new opportunities for the larger organization & influence the appropriate people for staffing/prioritizing these new ideas</li></ul>Minimum Qualifications: <ul><li>Experience leading projects with industry-wide impact</li><li>Vast experience communicating and working across functions to drive solutions</li><li>Proven track record of planning multi-year roadmap in which shorter-term projects ladder to the long term-vision</li><li>Experience in driving large cross-functional/industry-wide engineering efforts</li><li>Significant experience in mentoring/influencing senior engineers across organizations</li><li>Significant experience in programming languages with a technical background</li><li>Significant experience in one or more of the following areas: artificial intelligence, machine learning, deep learning, computer vision, 3D graphics</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li></ul>Preferred Qualifications: <ul><li>Doctor of Philosophy (Ph.D.) in Computer Engineering, Computer Science, or Electrical Engineering and Computer Sciences</li><li>Expertise in Physics, Optics, Computer Vision, Robotics, Sensor Fusion, or Machine Learning</li><li>Experience in shipping computer vision or image processing products to millions of customers or have started a new line of product</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Software Engineer, Computer Vision (Technical Leadership)

Meta is hiring ASIC Design Verification Engineer within the Infrastructure organization. We are looking for individuals with experience in Design Verification to build IP and System On Chip (SoC) for data center applications.As a Design Verification Engineer, you will be part of a dynamic team working with the best in the industry, focused on developing innovative ASIC solutions for Meta's data center applications. You will be responsible for the verification closure of a design module or sub-system from test-planning, UVM based test bench development to verification closure. Along with traditional simulation, you will be able to use other approaches like Formal and Emulation to achieve a bug-free design. The role also provides ample opportunities to partner and collaborate with full stack software, hardware, ASIC Design, Emulation and Post-Silicon teams towards creating a first-pass silicon success. ASIC Engineer, Design Verification Responsibilities: <ul><li>Define and implement IP/SoC verification plans, build verification test benches to enable IP/sub-system/SoC level verification.</li><li>Develop functional tests based on verification test plan.</li><li>Drive Design Verification to closure based on defined verification metrics on test plan, functional and code coverage.</li><li>Debug, root-cause and resolve functional failures in the design, partnering with the Design team.</li><li>Collaborate with cross-functional teams like Design, Model, Emulation and Silicon validation teams towards ensuring the highest design quality.</li><li>Develop and drive continuous Design Verification improvements using the latest verification methodologies, tools and technologies from the industry.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>5+ years of hands-on experience in SystemVerilog/UVM methodology and/or C/C++ based verification</li><li>Track record of 'first-pass success' in ASIC development cycles.</li><li>5+ years of experience in IP/sub-system and/or SoC level verification based on SystemVerilog UVM/OVM based methodologies.</li><li>Experience in EDA tools and scripting (Python, TCL, Perl, Shell) used to build tools and flows for verification environments.</li><li>Experience in architecting and implementing Design Verification infrastructure and executing the full verification cycle.</li></ul>Preferred Qualifications: <ul><li>Experience in one or more of the following areas along with functional verification - SV Assertions, Formal, Emulation.</li><li>Experience in development of UVM based verification environments from scratch.</li><li>Experience with Design verification of Data-center applications like Video, AI/ML and Networking designs.</li><li>Experience with revision control systems like Mercurial(Hg), Git or SVN.</li><li>Experience with verification of ARM/RISC-V based sub-systems or SoCs.</li><li>Experience with IP or integration verification of high-speed interfaces like PCIe, DDR, HBM, Ethernet.</li><li>Experience working across and building relationships with cross-functional design, model and emulation teams.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

ASIC Engineer, Design Verification

Meta is unique in our ambition and commitment to making widely adopted consumer AR a reality. Towards this goal, we continue to invest in the development of new-to-the-world hardware technologies that can enable our vision. As an Electrical Engineer Architect on the AR team, you will play a pivotal role in shaping the architecture and design of our next-generation products. You will lead the efforts in miniaturizing critical components such as cameras, sensors and battery technology, ensuring our products remain at the forefront of innovation in terms of size, performance and efficiency. Additionally, you will collaborate closely with internal teams and external suppliers to drive our miniaturization roadmap forward. You will become part of a team exploring new concepts through fast iterative prototyping while working cross-functionally with teams such as product management, product architecture, engineering, research, operations, and technical program management to drive clarity, alignment, efficiency, and world-class engineering execution. We are looking for individuals who have experience in technology or product development both in-house and with external partners, and who have the breadth and depth of knowledge to drive the technical choices and direction of all the phases of the technology development process. AR Electrical Engineering Architect Responsibilities: <ul><li>Lead electrical system architecture definition for a product while providing technical leadership to a larger development team across multiple XFNs with clear understanding of the system level spec and how it translates down to the module and component level. Driving alignment across multiple XFN teams on architectural and product decisions.</li><li>Own electrical design and oversee the development of highly complex systems delivering and ensuring that electrical systems achieve product goals while driving initiatives for higher product quality, miniaturization, while maintaining optimal cost and performance.</li><li>Describe complex features and/or systems in detail and are able to communicate technical information effectively up and down the chain while mentoring a team of electrical engineers.</li><li>Develop detailed understanding of the goals and strategy of your larger org and company, as well as engineering trends within the industry. You're able to drive the EE team's goals and technical direction, that spans generation of products with clear impact on the product roadmap.</li><li>Collaborate in a team environment and work across engineering disciplines to develop systems and manage trade offs across chip design, mechanics, optics, sensors, haptics, firmware and software.</li><li>Work closely with suppliers and influence their roadmap and uplevel their capabilities to ensure their deliverables can match the product roadmap.</li><li>Lead the team from the front and have the ability to join them in the trenches requires you to be comfortable around schematics, specifying components, directing board layouts, leading system level design reviews, Signal Integrity and Power Integrity, and the associated design trade-offs in a highly miniaturized system.</li><li>Ability to work in distributed team environment.</li><li>Contribute to building and sustaining internal Meta community through recruitment, mentorship, allyship, and a commitment to Meta's diversity equity and inclusion goals.</li><li>Ability to travel both domestically and internationally.</li><li>Inform prioritization of work across teams and disciplines and actively participate in resolving technical conflicts.</li></ul>Minimum Qualifications: <ul><li>15+ years of industry experience along with a BS in Electrical Engineering or Computer Engineering, or equivalent experience</li><li>Solid and demonstrable knowledge of electrical engineering fundamentals</li><li>Experience with schematic and board design using Cadence OrCAD, Altium or equivalent</li><li>Experience with use of lab equipment if required</li><li>Experience working with multiple of these technologies: digital signal processing, real-time image processing, display engineering, camera modules, mobile SoC and PMIC, or Battery Management System</li><li>Experience leading technical teams, cross-functional groups and driving vendor roadmaps against project plans</li><li>Effective technical communication skills</li></ul>Preferred Qualifications: <ul><li>MS or PHD in Electrical Engineering or Computer Engineering</li><li>20+ years of industry experience</li><li>Experience with Camera design along with its individual subsystems while understanding the trade-offs for high speed signaling over MIPI C-PHY/D-PHY, PCIe, USB SS and UFS</li><li>Experience with IMUs/sensor physical sensor systems with an understanding of calibration methods</li><li>Experience with vision systems and calibration algorithms, machine level algorithms and the level of computation and memory it drives.</li><li>Experience with audio, interfaces and subtleties of optimizing the system</li><li>Experience programming in languages like Python or C/C++</li><li>Experience with circuit design in high speed circuits, Verilog/FPGAs, microcontrollers, microprocessors, firmware, and programmable logic based development</li><li>Experience designing for HDI flexible and rigid substrates for high volume cost optimized applications</li><li>Experience developing manufacturing tests for high-volume consumer products</li><li>Experience defining system architecture based on product specification</li><li>Consumer Electronics experience and/or working within a mass production environment</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

AR Electrical Engineering Architect

Meta is seeking a high-performing Civil Engineer to join the DEC Design Team. In this role, you will provide civil engineering subject matter expertise and leadership for Data Center designs and systems with the goal of deploying concepts at scale in a global environment.The Design Leadership & Standards (DL&S) Team is comprised of in-house engineers and architects who focus on streamlining our Data Center design program to enable fast deployment by the site-specific design teams. We also focus on technical evaluation of new data center concepts and technologies as well as staying engaged with emerging industry trends and building codes.The ideal candidate will have strong leadership skills, a proven track record in proactive cross-functional and team leadership, a strong background in all aspects of site development as well as experience working on large industrial development projects within a global portfolio. A thorough understanding of interdependent disciplines, such as electrical and fiber, is strongly desired. This person shall be detail-oriented, possess strong organizational skills, and be a self-starter that can excel with little direction. As an Owner Rep, the individual will be required to negotiate between competing priorities, manage risk to the business, and be held accountable for consultant performance.Our data centers are the foundation upon which our software operates enabling innovation for the company. Building and operating data centers the "right" way from the day they go live is synonymous with ensuring capacity availability and capital conservatism. The data center design team approaches facility design from the chips on the server boards to the facility mechanical and electrical distribution systems which ensure and maximize efficiency of our compute infrastructure. This position is full-time. Civil Engineer, Data Center Design Responsibilities: <ul><li>Provide Civil and Geotechnical technical review and oversight of new data center designs</li><li>Provide Civil and Geotechnical technical support for site selection, due diligence, master planning and permitting.</li><li>Engage with Meta stakeholders, external architectural and engineering consultant teams, authorities having jurisdiction and site contractors to ensure that Meta's data center design standards and quality are met.</li><li>Typical work tasks can include geotechnical report review, topographic and boundary survey review, traffic impact study evaluation, evaluation of site-specific schedules , review of offsite infrastructure plans, review of site civil plans including mass grading, site utilities or early enablement packages, coordination with AHJs and consultant teams.</li><li>Provide guidance as needed associated to overall construction schedule impacts from early civil works across all disciplines.</li><li>Lead program improvements to Meta's civil and geotechnical design standards and support development of new products for civil discipline.</li><li>Travel (around 25%) to datacenter sites when needed for engineering studies, systems audits, testing, and commissioning</li><li>Participate in system failure or related incident Root-Cause-Analysis (RCA)</li><li>Respond on an as-needed basis to emergencies</li></ul>Minimum Qualifications: <ul><li>Bachelor's Degree in Civil Engineering, or related field</li><li>Professional Engineer registration, or European equivalent</li><li>Experience creating technical playbooks, standards, and template documentation for use within a portfolio of facilities</li><li>Experience working on a program which includes global engineering</li><li>Minimum of seven (7) years professional experience supporting large industrial campus site and utility planning and construction</li><li>Experience managing the production of site infrastructure documents including preliminary utility, grading, and drainage plans as well as roadway infrastructure</li><li>Knowledge of Geophysics and Geotechnical engineering, including soil mechanics, grading, stormwater management, and erosion/sediment control engineering</li><li>Knowledge of campus planning strategies and regulatory processes, entitlement, and permitting</li><li>Knowledge of mission critical building systems, including mechanical, electrical, fire protection, structural, and architectural systems</li><li>Knowledge of industry standards, building codes and safety standards including IBC, ASCE, and European equivalents</li><li>Experience with troubleshooting and problem solving</li><li>Experience providing solutions to complex projects under pressure</li><li>Effective communications skills, fluent in English</li><li>Working knowledge of AutoCAD Civil 3D, Infraworks, ArcGIS, MS office, StormCAD, Hydroflow, ICPR or other industry accepted software</li></ul>Preferred Qualifications: <ul><li>Knowledge of mission critical projects (e.g. data centers, aviation, industrials, etc.)</li><li>Master's Degree in Civil Engineering or related field</li><li>LEED Accreditation</li><li>Experience performing Program or Project Management, PMP Certification</li><li>Experience directly supporting data center engineering and construction</li><li>Experience in managing design consultants from the owner' side</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Civil Engineer, Data Center Design

At GenAI, we're developing the cutting edge AI technologies that will define the future of content creation, productivity and social media. We are looking for a creative, skilled and motivated Research Scientist to join our media foundation modeling team in advancing the state-of-the-art of image and video foundation models. You will work with research scientists, software engineers and data scientists to design technical solutions in a fast-paced multidisciplinary environment. Research Scientist, Computer Vision (PhD) Responsibilities: <ul><li>Work with researchers to develop input architectures that combine vision and language.</li><li>Design and prototype interactive experiences and evaluate them through user research.</li><li>Design and prototype data collection systems to accelerate machine learning.</li><li>Collaborate and work across teams to develop concepts that advance the entire product pipeline (hardware, software, data collection, machine learning, etc.).</li></ul>Minimum Qualifications: <ul><li>Currently has, or is in the process of obtaining, a PhD degree in Computer Science, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li><li>Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li><li>Experience in developing interactive solutions for computer vision, natural language processing, or computer graphics.</li><li>Experience working with PyTorch or TensorFlow.</li><li>Experience with sequence modeling, domain adaptation or representation disentanglement.</li><li>Experience designing data collection protocols and quality control.</li><li>Technical knowledge across topics including machine learning, optimization, Bayesian statistics and state estimation.</li><li>Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.</li></ul>Preferred Qualifications: <ul><li>Research experience in end-to-end speech recognition or real-time statistical text decoding.</li><li>Experience transferring technology from research in computer vision, machine perception or machine learning into a shipping product.</li><li>Experience with joint hardware-software development and associated rapid prototyping.</li><li>Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).</li><li>Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, or similar.</li><li>Experience working and communicating cross-functionally in a team environment.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Research Scientist, Computer Vision (PhD)

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As a Camera Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer. Software Engineer, Camera Driver - Reality Labs Responsibilities: <ul><li>Design and develop system-level software for camera and imaging systems for AR/VR products</li><li>Provide solutions to complex sensor and hardware control logic to work seamlessly with the imaging pipeline</li><li>Design, code, review, and tests camera related software features across lower levels of the camera stack, including Camera HAL, Multimedia subsystems and Linux kernel</li><li>Develop device drivers and configure image quality blocks for the ISP subsystem.</li><li>Work with Image Sensor vendors and develop the software and frameworks for sensors on our products ranging from Machine Perception sensors for VR to photographic sensors on devices.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>7+ years of experience with development of software systems, including camera system software such as ISPs, sensors and other Imaging Pipeline HW components, and Camera Firmware for Camera focused MCUs</li><li>Experience working on camera hardware, including sensors, lens, DSP, or computer vision processing units</li><li>Experience with camera APIs and understanding of Video and Image Capture pipeline for embedded devices</li><li>Experience working on camera stack on iOS, Android or other mobile platforms</li><li>Experience developing and debugging in C/C++</li></ul>Preferred Qualifications: <ul><li>Experience with any of: auto exposure and auto white balance algorithms, software control of Image Signal Processors, image sensor drivers, and MIPI/CSI protocol</li><li>Understanding of Video and Image Capture pipeline for embedded devices</li><li>Experience with Camx</li><li>Experience with Qualcomm Hardware & ISP</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Software Engineer, Camera Driver - Reality Labs

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As a Gameplay Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer. Software Engineer, Gameplay - Reality Labs Responsibilities: <ul><li>Architect efficient and reusable systems that drive complex AR/VR applications</li><li>Prototyping new interactions and features with an eye toward intuitive usability and feel</li><li>Drive design and implementation for proposed playful and creative projects for Experiences in AR or VR</li><li>Lead collaboration with multi-functional teams to achieve compelling experiences</li><li>Engage with FB teams to understand and utilize FB graph and features that will power social UX</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>6+ years experience as an engineer shipping user-facing features on games or other 3D interactive products</li><li>Demonstrated experience interfacing with other internal and external teams to incorporate their innovations and vice versa</li></ul>Preferred Qualifications: <ul><li>Experience with a combination of Windows, Android, and game console programming</li><li>Experience with Unity 3D or Unreal</li><li>Strong understanding of 3D math, linear algebra, and techniques</li><li>Experience with augmented reality (HoloLens, Magic Leap, ARKit, etc.)</li><li>Experience in UX design or game design</li><li>Experience with real time networked features (i.e., synchronous multiplayer games)</li><li>Thrives in dynamic, fast-paced environments</li><li>Experience with virtual reality (Rift, Quest, VIVE, Gear VR, etc.)</li><li>Experience with C++ and/or C# programming</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Software Engineer, Gameplay - Reality Labs

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As an Embedded Software Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer. Embedded Software Engineer, BSP/Kernel - Reality Labs Responsibilities: <ul><li>Design and implement components at all layers of the system, e.g. kernel, synchronization primitives, resource allocators, memory management, security, I/O systems, persistence, etc.</li><li>Design and implement drivers and services that operate efficiently in a constrained environment yet when pressed can efficiently deliver large volumes of data with low-latency and high-bandwidth.</li><li>Own the definition of one or more work streams focused on hardware bringup, peripheral drivers and communication, silicon integration and power and performance management and optimization.</li><li>Debug complex, system-level, multi-component issues that typically span across multiple layers from kernel to application.</li><li>Profile performance problems and drive optimizations that span the entire software stack.</li><li>Bring up new devices and lead debugging and performance tuning exercises that span multiple hardware/firmware/software teams.</li><li>Understand software components from multiple partner teams, lead the integration of those components into the unified product code base, and drive their continued development.</li></ul>Minimum Qualifications: <ul><li>Bachelor's or Master's Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>6+ years' Software Engineering experience in the following: device driver development, embedded systems, or operating systems.</li><li>6+ years' experience working on systems software in a large-scale C/C++ code base.</li><li>2+ years' experience defining and driving technical work streams and providing technical leadership for software engineering teams.</li><li>Experience with Software Development processes including: source control, bug tracking, and design documentation.</li><li>Experience in hardware bringup using interfaces like ADC, GPIO, SPI, I2C, etc.</li><li>Experience in one or more of the following areas: BSP/Board Support Package, Operating Systems, Android OS, RTOS, Bootloader, Power Management, Linux, Graphics and Display Drivers, MCU (Microcontroller).</li><li>Experience developing, debugging, and shipping software products on large code bases that span platforms and tools.</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li></ul>Preferred Qualifications: <ul><li>Deep specialized experience in two or more of the following areas: BSP/Board Support Package, Operating Systems, CoreOS, Kernel, Android Kernel, Bootloader, Power Management, RTOS, Linux, Graphics and Display Drivers, MCU (Microcontroller).</li><li>Demonstrated experience working collaboratively in cross-functional teams.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Embedded Software Engineer, BSP/Kernel - Reality Labs

Meta is seeking a Research Scientist to join our new Large Language Model (LLM) Research team. We are looking for recognized experts in generative AI and NLP, with experience in areas like language model evaluation; data processing for pretraining and fine-tuning; responsible LLMs; LLM alignment; reinforcement learning for language model tuning; efficient training and inference; and/or multilingual and multimodal modeling. The ideal candidate will have an interest in producing and applying new science to help us develop and deploy large language models. Research Scientist - Generative AI (PhD) Responsibilities: <ul><li>Lead, collaborate, and execute on research that pushes forward the state of the art in large language model research.</li><li>Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.</li><li>Work with a large and globally distributed team.</li><li>Contribute to publications and open-sourcing efforts.</li><li>Help identify long-term ambitious research goals as well as intermediate milestones.</li><li>Prioritize research that can be applied to Meta's product development.</li><li>Mentor other team members. Play a significant role in healthy cross-functional collaboration.</li></ul>Minimum Qualifications: <ul><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>A PhD in AI, computer science, data science, or related technical fields.</li><li>Experience holding an industry, faculty, or government researcher position.</li><li>Publications in machine learning.</li><li>Experience writing software and executing complex experiments involving large AI models and datasets.</li><li>Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.</li><li>Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.</li></ul>Preferred Qualifications: <ul><li>Direct experience in generative AI and LLM research.</li><li>2+ year(s) of work experience in a university, industry, or government lab, in a role with primary emphasis on AI research.</li><li>First author publications experience at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL).</li><li>Experience in developing and debugging in Python.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Research Scientist - Generative AI (PhD)

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As an Embedded Software Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer. Embedded Software Engineer, BSP/Kernel - Reality Labs Responsibilities: <ul><li>Design and implement components at all layers of the system, e.g. kernel, synchronization primitives, resource allocators, memory management, security, I/O systems, persistence, etc.</li><li>Design and implement drivers and services that operate efficiently in a constrained environment yet when pressed can efficiently deliver large volumes of data with low-latency and high-bandwidth.</li><li>Own the definition of one or more work streams focused on hardware bring up, peripheral drivers and communication, silicon integration and power and performance management and optimization.</li><li>Debug complex, system-level, multi-component issues that typically span across multiple layers from kernel to application.</li><li>Profile performance problems and drive optimizations that span the entire software stack.</li><li>Bring up new devices and lead debugging and performance tuning exercises that span multiple hardware/firmware/software teams.</li><li>Understand software components from multiple partner teams, lead the integration of those components into the unified product code base, and drive their continued development.</li></ul>Minimum Qualifications: <ul><li>Bachelor's or Master's Degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li><li>5+ years' Software Engineering experience in the following: device driver development, embedded systems, or operating systems.</li><li>5+ years' experience working on systems software in a large-scale C/C++ code base.</li><li>2+ years' experience defining and driving technical work streams and providing technical leadership for software engineering teams.</li><li>Experience with Software Development processes including: source control, bug tracking, and design documentation.</li><li>Experience in hardware bring up using interfaces like ADC, GPIO, SPI, I2C, etc.</li><li>Experience in one or more of the following areas: BSP/Board Support Package, Operating Systems, Android OS, RTOS, Bootloader, Power Management, Linux, Graphics and Display Drivers, MCU (Microcontroller).</li><li>Experience developing, debugging, and shipping software products on large code bases that span platforms and tools.</li></ul>Preferred Qualifications: <ul><li>Deep specialized experience in two or more of the following areas: BSP/Board Support Package, Operating Systems, CoreOS, Kernel, Android Kernel, Bootloader, Power Management, RTOS, Linux, Graphics and Display Drivers, MCU (Microcontroller).</li><li>Demonstrated experience working collaboratively in cross-functional teams.</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

Reality Labs at Meta is building products that make it easier for people to connect with the ones they love most, enjoy top-notch, wire-free VR, and push the future of computing platforms. We are a team of world-class experts developing and shipping products at the intersection of hardware, software and content.As an OS Frameworks Engineer on the Reality Labs team at Meta, you can help build new, innovative hardware and software that radically redefine the way people work, play and connect. What we build today could one day be the norm. So to be here today is to truly be at the heart of change and the frontier of what's to come. We're the people helping to define the metaverse. We may not have all the answers. But together, we're getting closer. Software Engineer, OS Frameworks - Reality Labs Responsibilities: <ul><li>Lead and set direction in how Meta Reality Labs develops its future capabilities to deliver best-in-class VR devices.</li><li>Develop APIs in the system-level framework layer that allow other layers of the stack to implement compelling and performant use cases.</li><li>Collaborate with cross-functional teams of partners, product managers and engineers to build an end-to-end solution.</li><li>Work with Application and Platform teams to debug functional, performance and stability issues across the stack.</li><li>Build on OS internals. Set technical direction for significant improvements.</li><li>Uplift coding and design skills on the team through reviews and introduction of best practices. Model behaviors through clean readable code, upfront debug-ability and testability when implementing complex components.</li><li>Work closely with product management, application software engineers and partners to understand requirements, specify interfaces for new software frameworks, and enhance existing frameworks.</li><li>Participate in design reviews and code reviews for the team.</li></ul>Minimum Qualifications: <ul><li>Bachelor degree or equivalent experience in the field of Computer Science, Computer Engineering or a similar field</li><li>6+ years of Software development experience</li><li>3+ years of experience in developing any of the following: Desktop applications, Operating Systems, AOSP, Identity, Device management on iOS/Android, Device Security, Android Enterprise</li><li>Experience with Android, macOS, or Windows internals or frameworks services</li><li>Experience with coding in both C++ and Java</li><li>Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.</li></ul>Preferred Qualifications: <ul><li>3+ years experience with any of the following: Android internals, AOSP, Android SDK, Android NDK, Android JNI, Android IPC mechanisms, Linux OS development</li><li>1+ years of experience developing software for Mobile platforms (Android/iOS)</li><li>Experience with Android performance tools and security models</li><li>Experience with Android UI frameworks and services</li></ul>About Meta: Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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