Silicon Intern

Infrastructure | Menlo Park, CA

Oculus is the world leader in the design of virtual and augmented reality systems. The Oculus Silicon Team is looking for exceptional interns to help us create the next-generation experiences in virtual and augmented reality. Our machine learning research and development focuses on hardware acceleration of deep learning (aka convolutional neural networks, CNN) and custom hardware IP blocks for computer vision related tasks. We are looking for students interested in low-power SoC architecture and design including novel implementation of CNN in silicon. Background in optimizing design for power, performance, DRAM bandwidth and future extensibility is particularly welcome.


  • Evaluate, prototype, design hardware-based neural net accelerators especially for AR/VR use-cases.
  • Collaborate with and support other researchers across various disciplines.
  • Work with cross-functional teams to enable new user experiences in AR/VR via innovative applications of deep learning techniques for body tracking, user interface and other use-cases.
  • Work with algorithm research teams to map CNN graphs to hardware implementations, model data-flows, create cost-benefit analysis and estimate silicon power and performance
  • Contribute to execution of our silicon technology / compute roadmap to make advances in performance, power consumption and form factor
  • Communication of research agenda, progress and results

Minimum Qualifications

  • Pursuing a Masters or Ph.D. degree in Computer Science or Electrical Engineering
  • Currently enrolled in a full-time degree program and returning to the program after the completion of the internship.
  • >1 year experience in Machine Learning/Neural Nets
  • Experience in SoC low-power design and architecture methodologies
  • Software design and programming skills in C/C++ for development, debugging, testing and performance analysis
  • Interpersonal skills: cross-group and cross-culture collaboration
  • Able to obtain work authorization in the United States between January 1, 2018 and December 31, 2018.

Preferred Qualifications

  • Demonstrated engineering experience via internships, work experience, coding competitions, chip tape outs Experience in real-time processing of CNN for computer vision

Ready to Join?

Apply Now

Oculus 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, genetic information, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

If you need assistance or an accommodation due to a disability, you may contact us at or you may call us at +1 650-308-7837.