Research Scientist, Computer Vision Silicon Architect (PhD)

Research Scientist, Computer Vision Silicon Architect (PhD)
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Burlingame, CA
The Sensors and Systems Research (SSR) group at Meta Reality Labs Research (formerly Facebook Reality Labs Research) is currently searching for a full-time Research Scientist to pioneer, design, and prototype innovative SoC and algorithms for intelligent sensing systems. We encourage candidates with a proven track record in low-power compute architectures for efficient computer vision (CV) and machine learning (ML) algorithm deployment, as well as those skilled in software/hardware co-design for distributed ML, multi-modal learning, self-supervised learning, and privacy-preserving ML applications and systems to apply. This role presents a unique opportunity to work at the intersection of hardware and software, and drive innovation at the forefront of the AR/VR technology revolution while collaborating with a diverse group of cross-disciplinary experts to create next-generation, human-oriented sensing and computing solutions.
Research Scientist, Computer Vision Silicon Architect (PhD) Responsibilities
  • Explore ground breaking intelligent vision and sensing technologies for AR/VR systems.
  • Implement machine perception and artificial intelligent algorithms and SoC that are suitable for on-sensor integration for low-power, low latency cognitive systems.
  • Design and develop sensing and vision processing circuit and hardware, investigate innovative sensor architectures and on-sensor vision processing compute engines.
  • System performance and evaluation by modeling, simulation, experimenting, data collection, and tradeoff study.
  • Collaborate with internal and external computer vision scientists, hardware and software architects, perception scientists, and optical experts on cutting edge vision systems.
  • Mentor MS/PhD interns and collaborate with external academic groups to advance our research goals.
Minimum Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • Currently has or is in the process of obtaining a PhD in the field of sensor design, VLSI circuit design, computation architecture, machine learning and artificial intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.
  • Research experience in sensor system, computer vision system, machine learning algorithm and hardware developments in academic research.
  • Proficient in architecting and designing ultra-low power SoC platforms on leading-edge nodes.
  • Experience with novel computer paradigms (such as Compute in Memory) and technologies (such as emerging embedded memory technologies).
  • Proficient programming skills with C/C++, Python, MATLAB, Torch, etc. languages.
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment.
Preferred Qualifications
  • Experience in system modeling across data/image capture, signal processing pipeline, algorithms.
  • Experience in 3D computer vision algorithms including Calibration, SLAM, Reconstruction, Mapping, Localization, Tracking and Image Processing.
  • Experience with formulating and solving algorithm optimization problems.
  • 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 IEEE VLSI Symposium, IEEE ISSCC, IEEE IEDM, JSSC, IEEE TCAS, ICCV, ISCA, TinyML, Micro, or similar.
  • Past experience in system modeling across data/image capture, signal processing pipeline, algorithm, and functional behaviors.
  • Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).
  • Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.
  • Experience working and communicating cross functionally in a team environment.
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 committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to
$143,000/year to $208,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. We may use your information to maintain the safety and security of Meta, its employees, and others as required or permitted by law. You may view Meta Pay Transparency Policy, Equal Employment Opportunity is the Law notice, and Notice to Applicants for Employment and Employees by clicking on their corresponding links. Additionally, Meta participates in the E-Verify program in certain locations, as required by law.

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