Research Scientist, Circuit Design (PhD)
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Reality Labs (RL) focuses on delivering Meta's vision through Virtual Reality (VR) and Augmented Reality (AR). The compute performance and power efficiency requirements of Virtual and Augmented Reality require custom silicon. Reality Labs Silicon team is driving the state of the art forward with breakthrough work in computer vision, machine learning, mixed reality, graphics, displays, sensors, and new ways to map the human body. Our chips will enable AR & VR devices where our real and virtual world will mix and match throughout the day. We believe the only way to achieve our goals is to look at the entire stack, from transistors, through architecture, firmware, and algorithms. We are growing our Research team within RL Silicon and are seeking research scientists who will work with a world-class group of researchers and engineers using your skills to implement and contribute to the development and optimization of state-of-the-art accelerators and SoCs.
Research Scientist, Circuit Design (PhD) Responsibilities
- Identify and solve multi-discipline AI and low power hardware systems problems
- Develop and design new solutions for AI hardware silicon architectures & systems
- Deploy AI workloads and models in custom silicon architectures with multiple programmable blocks and accelerators
- Work across hardware and software, to solve deep co-design problems with other Research scientists working in this area
- System modeling for performance estimation and optimization at IP, SoC and chiplet level
- Estimate system-level benefits of a new architecture/design
- Develop generative AI solutions to support and assist different work streams of silicon design
- Actively engage, collaborate, and influence other research pillars and application teams at Reality Labs.
Minimum Qualifications
- 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.
- Currently has or is in the process of obtaining a PhD in the field of Computer Science, or Electrical Engineering, or equivalent practical experience. Degree must be completed prior to joining Meta.
- Experience as an IC Research Designer and Architect with proven digital/mixed signal skills
- Experience understanding a complete silicon design flow
- Experience to benchmark the proposed research solutions with existing HW
- Experience using generative AI models and solutions
- Experience with chip design flow and chips tape-out
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
Preferred Qualifications
- Experience with embedded learning architectures and circuits, or AR applications
- Experience with TensorFlow / Pytorch or similar machine learning toolsets.
- Experience creating new AI models and training them
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as ISSCC, CICC, VLSI
- Experience working and communicating cross functionally in a team environment
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward
For those who live in or expect to work from California if hired for this position, please click here for additional information.
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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.
$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.
Equal Employment Opportunity and Affirmative Action
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, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to accommodations-ext@fb.com.
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