Research Scientist, Neural Network Research

Infrastructure | Menlo Park, CA - Redmond, WA

Oculus is the world leader in the design of virtual and augmented reality systems. Come work alongside expert engineers and research scientists to create the technology that makes VR and AR pervasive and universal. Join the adventure of a lifetime as we make science fiction real and change the world. We are seeking a Digital Systems Architect to support development of state-of-the-art deep learning hardware components optimized for AR/VR systems. The successful candidate will be part of our efforts to architect, design and implement the hardware platforms for this activity and will be part of a team that includes algorithm, user experience, software, firmware and ASIC experts. The ideal candidate will understand the full stack from algorithms and architecture down to hardware accelerator blocks. This is a full-time position based in either our Redmond, WA or Menlo Park, CA offices.


  • Enable new user experiences in AR/VR via innovative applications of deep learning techniques for body tracking, user interface and other use-cases.
  • Develop system hardware design that includes camera image processing, neural nets and custom compute processing blocks. Such design will surpass state-of-the-art metrics for compute resources, DRAM bandwidth and power consumption
  • 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
  • Support all phases of Silicon SoC development from a deep learning perspective - from early definition on through specification, architecture, layout and production
  • Work with other groups to produce an FPGA test platform to test, develop and optimize the full system
  • Contribute to execution of our silicon technology/compute roadmap to make advances in performance, power consumption and form factor
  • Assess and recommend emerging technologies through partnerships with external suppliers
  • Employ the scientific method to evaluate performance and to debug, diagnose and drive resolution of cross-disciplinary system issues

Minimum Qualifications

  • M.S. degree in Computer Science or Electrical Engineering or equivalent experience
  • Experience in mobile SoC low-power design and architecture methodologies
  • Experience in deep learning algorithms and techniques, e.g., convolutional neural networks, recurrent networks, etc.
  • Understanding of custom SoC design especially it relates to integration of hardware IP blocks, on-chip buses, DRAM bandwidth and power constraints
  • Software design and programming skills in C/C++ for development, debugging, testing and performance analysis
  • Ability to cross multi-disciplinary boundaries to drive optimal system solutions

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.