Visiting Professor (Graphics Pipeline Hardware Architecture)

Research | Redmond, WA

Oculus Research, the research division of Oculus (Facebook), is looking for a world-class professor in graphics pipeline hardware architecture to support the development of our next-generation consumer product platforms that will provide breakthrough simulated reality user experiences The successful candidate will lead our efforts to develop the hardware component of a custom graphics pipeline optimized for AR/VR systems. The successful candidate will be required to design custom ICs/ASICs in close collaboration with the groups developing the algorithms, system software and SoCs.


  • Research the new and experimental graphics hardware pipelines for AR and VR
  • Collaborate closely with the graphics software architects and the SoC designers to support the realization of the necessary hardware to enable innovative AR/VR experiences
  • Support all phases of Silicon SoC development from a graphics pipeline perspective - from early definition on through specification, architecture, layout and production
  • Design, simulate, and test of an ASIC/SoC to realize the graphics pipeline design
  • 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 beyond state-of-the-art advances in performance, power consumption and form factor

Minimum Qualifications

  • PhD in computer science, computer engineering, electrical engineering, or related field.
  • Experience with researching non-conventional graphics pipelines.
  • 15+ years of experience in graphics hardware design and algorithms.
  • Design experience with GPU ACISs.
  • Experience in both ASIC/SoC design methodologies and simulation.

Preferred Qualifications

  • Postdoctoral research or 3+ years of research experience in academia or industrial research setting.

Ready to Join?

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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.

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