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Research Scientist, Machine Learning Hardware Architect (PhD)

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Meta

Feb 12

  • Job
    Full-time
    Junior, Mid & Senior Level
  • Data
  • Sunnyvale

AI generated summary

  • The ideal candidate for this Research Scientist role should have experience in digital design, CPU and CV/ML accelerators, and machine learning models. They should also be proficient in at least one procedural programming language and hold a PhD degree in Computer Science or Electrical Engineering. Additional preferred qualifications include experience in ASIC design flow and familiarity with machine learning toolsets like TensorFlow or Pytorch.
  • The Research Scientist, Machine Learning Hardware Architect at Meta will be responsible for solving multi-discipline ML acceleration problems, working on deep co-design problems, analyzing performance and power of ML models, modeling machine learning workloads, and developing software tooling for efficient design of ML accelerators.

Requirements

  • 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.

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.

FAQs

What is the main responsibility of a Research Scientist, Machine Learning Hardware Architect at RL Silicon?

The main responsibility of this role is to work with a team of researchers and engineers to develop and optimize low power machine learning accelerators and state-of-the-art SoCs.

What qualifications are needed for this position?

A PhD in a relevant field, such as Computer Science or Electrical Engineering, is required for this role. Experience in machine learning hardware architecture is also preferred.

What will be the primary focus of the work in this role?

The primary focus of this role will be on implementing and optimizing machine learning accelerators for low power consumption and high performance.

What kind of team will the Research Scientist, Machine Learning Hardware Architect be working with?

The Research Scientist will work with a world-class group of researchers and engineers who are focused on developing cutting-edge machine learning hardware technologies.

Are there opportunities for career growth and development in this role?

Yes, there are opportunities for professional growth and development within the Machine Learning Hardware team at RL Silicon. Top performers may have the chance to take on leadership roles or work on more advanced projects in the future.

Meta

Technology
Industry
10,001+
Employees
2004
Founded Year

Mission & Purpose

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.