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Research Scientist, On-Sensor Compute Development (PhD)

AT Meta
Meta

Research Scientist, On-Sensor Compute Development (PhD)

San Mateo, CA

Reality Labs Research brings together a world-class R&D team of researchers, developers, and engineers with the shared goal of developing AR and VR across the spectrum. We are currently seeking a Research Scientist to be an integral part of the Sensors and Systems team that focuses on inventing and leading the future of image sensor technologies. This role will focus on the technologies needed for on-sensor compute, to develop future generations of smart ultra low power image sensors.

Research Scientist, On-Sensor Compute Development (PhD) Responsibilities:

  • Explore ground breaking intelligent vision and sensing technologies for AR/VR systems
  • Implement machine perception and artificial intelligent algorithms that are suitable for on-sensor integration for low-power, low latency cognitive systems
  • 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 and companies to advance our research goals
  • Publish research results in top-tier journals and at leading international conferences
Minimum Qualifications:

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  • Currently has, or in the process of obtaining, a PhD degree in the field of VLSI Circuit Design, Computation Architecture, Machine Learning and Artificial Intelligence, Computer Science, Computer Vision or a related field
  • Experience in one or more of the following fields: Hardware architectures and novel emerging technologies (memories, 3d-integration), Machine Learning Accelerator Design, Sensor Design and Modeling, Machine Learning Algorithms, Neural Networks, Physics based models, or a related field
  • Experience with programming languages like C/C++, Python, MATLAB, Torch, etc
  • Experience in 3D computer vision algorithms including Calibration, SLAM, Reconstruction, Mapping, Localization, Tracking and Image Processing
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • 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
Preferred Qualifications:
  • Experience in system modeling across data/image capture, signal processing pipeline, algorithms
  • Experience with formulating and solving algorithm optimization problems
  • Proven track record of achieving significant results, as demonstrated by grants, fellowships, patents, or first-authored publications at leading workshops or conference (e.g., IEEE VLSI Symposium, IEEE ISSCC, IEEE IEDM, JSSC, IEEE TCAS, ICCV, ISCA, Micro, etc.)
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.

$117,000/year to $173,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Client-provided location(s): Burlingame, CA, USA
Job ID: a1KDp00000E2YxBMAV_1001
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Health Reimbursement Account
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Short-Term Disability
    • Long-Term Disability
    • FSA
    • FSA With Employer Contribution
    • HSA
    • HSA With Employer Contribution
    • Fitness Subsidies
    • On-Site Gym
    • Mental Health Benefits
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Commuter Benefits Program
    • Casual Dress
    • Happy Hours
    • Snacks
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Unlimited Paid Time Off
    • Paid Holidays
    • Personal/Sick Days
    • Sabbatical
    • Leave of Absence
  • Financial and Retirement

    • 401(K)
    • 401(K) With Company Matching
    • Pension
    • Company Equity
    • Performance Bonus
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Learning and Development Stipend
    • Promote From Within
    • Mentor Program
    • Shadowing Opportunities
    • Access to Online Courses
    • Lunch and Learns
    • Internship Program

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