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Job Descrption

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 Machine Learning Hardware team within RL Silicon and are seeking engineers at all levels 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 low power machine learning accelerators and state-of-the-art SoCs.Research Scientist, Machine Learning Hardware Architect (PhD) Responsibilities

• Identify and solve multi-discipline ML acceleration problems involving algorithms, network design, hardware architecture and AR/VR use cases. Many of these would be first time solutions in the industry.
• Work across hardware and software, to solve deep co-design problems with other Research scientists working in this area.
• Assist with performance/power analysis of machine learning models.
• Algorithmic modeling of machine learning workloads.
• Develop software tooling / methodologies for efficient design of ML accelerators.

Minimum Qualifications

• Experience in digital design, microarchitecture, or Performance Modelling.
• Experience working with computer architecture experience, including CPU and CV/ML accelerators
• Experience with Machine learning models, algorithms or accelerator architecture.
• Proficient with at least one procedural programming language (C, C++, Python etc)
• Currently has, or is in the process of obtaining a PhD degree in Computer Science, Electrical Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.
• Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment.
• 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.

Preferred Qualifications

• Experience in ASIC design flow (Design, Verification, Synthesis)
• Experience with TensorFlow / Pytorch or similar machine learning toolsets.
• Familiarity with the state of art ML algorithm optimizations like Neural Architecture Search, quantization, pruning etc.

LocationsAbout 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. 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. $117,000/year to $173,000/year + bonus + equity + benefits

Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.

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