Software Engineer, Systems ML - SW/HW Co-design

Meta is seeking an experienced AI Software Engineer for their Research & Development teams to work on cutting-edge AI Infrastructure projects. This role combines software engineering expertise with machine learning systems optimization, focusing on hardware acceleration and SW/HW co-design. The position offers an opportunity to work on some of the most crucial challenges in AI infrastructure at one of the world's leading tech companies.

The role involves building and optimizing intelligent ML systems that enhance Meta's products and user experiences. You'll be responsible for setting strategic goals, conducting data-driven analysis, and leading cross-team initiatives. The position requires deep technical knowledge in machine learning infrastructure, hardware accelerators, and system optimization.

As a Senior Software Engineer in the Systems ML team, you'll work with state-of-the-art AI technologies and contribute to Meta's AI infrastructure development. The role offers competitive compensation ($85,100 - $251,000/year) plus bonus and equity, reflecting the high-level expertise required. You'll be based in either Menlo Park or Burlingame, California, working with Meta's AI Infrastructure and Engineering teams.

The ideal candidate should have a strong background in computer science or engineering, with specialized experience in machine learning systems, hardware accelerators, or ML frameworks like PyTorch. You'll have the opportunity to mentor other engineers and research scientists while working on projects that directly impact billions of users across Meta's family of apps and technologies.

This position offers an exciting opportunity to shape the future of AI infrastructure at Meta, working on projects that bridge the gap between software and hardware optimization. You'll be part of Meta's mission to move beyond traditional computing into immersive experiences and next-generation social technology.