Camera Control Algorithm Engineer

    • Menlo Park, CA

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.

AR/VR brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content. We have a clear mandate to ship products at scale. In particular, seemingly impossible products that define new categories that advance Facebook's mission of connecting the world. The Reality Labs Technology Engineering team has the responsibility for taking breakthroughs in core technology and delivering them to market at scale. The Technology Engineering Camera Team seeks a Camera Control Algorithm Scientist who has extended experience of leading high-performance camera control algorithm development from concept to production volume ramp in consumer electronics. This is a full-time position based in our Menlo Park office.

  • Responsible for all research, design, development, test and qualification of camera control algorithm for Facebook products
  • Interact with cross-functional engineering teams (Product management, camera HW engineer, Software Engineers, Electrical Engineering) for camera development and system integration
  • Lead on camera control algorithm development, qualification and production bring up, create new photography user experience
  • Understand camera hardware and software architectures, optimize the camera control algorithm performance and efficiency
  • Work with camera hardware team to develop camera control algorithm (e.g. AF/OIS), define the factory calibration procedure, test/validation plan
  • Driving prototype ideas for proof of concept and demonstration purposes
  • Bachelors degree in Imaging Science, Computer Science, Electrical Engineering, Mechanical Engineering, Physics, or related field/experience
  • Experience coding in MATLAB or Python or Objective C or Swift or Java or C++ or C
  • 3+ years of experience in camera control algorithm development over the full product life cycle ranging from product definition to NPI and ramp
  • In-depth knowledge of camera module structure, e.g. Lens, Sensor, Actuator (AF/OIS), Gyro/IMU, and best practices with good understanding of image quality fundamentals and their system drivers
  • Experience in driving algorithm development from prototype to real-time deployment
  • Experience in driving the optimization of camera hardware, firmware, and software system integration
  • Working knowledge of camera module manufacturing process
  • Experience with data analysis using JMP, MATLAB, or other related software
  • Ph.D. in Imaging Science, Computer Science, Electrical Engineering, Mechanical Engineering, Physics
  • Experience with full image ISP pipeline
  • Experience with Camera algorithm development in some of the following imaging algorithms: Auto Focus, Optical Image Stabilization (OIS), Auto-exposure, Auto white balance
  • Experience with Standard imaging interfaces and protocols in the typical consumer platform
  • Knowledge/experience in camera actuator working principle and characterization methodology
  • Knowledge/experience in module mechanical design and basic tolerance analysis
  • Knowledge/experience in quality evaluation methodology (test algorithm, chart, lab setup) and quality metric
  • Knowledge/experience in machine learning and AI algorithms
  • Experience with latest generation mobile and consumer electronics chipset architectures
Facebook is proud to be an Equal 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.Facebook 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

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