Software Engineer – Systems ML – SW/HW Co-design
| Company | Meta |
|---|---|
| Location | Burlingame, CA, USA, Menlo Park, CA, USA, New York, NY, USA, Bellevue, WA, USA, Sunnyvale, CA, USA |
| Salary | $70.67 – $208000 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
- Specialized experience in one or more of the following machine learning/deep learning domains: Hardware accelerators architecture, GPU architecture, machine learning compilers, or ML systems, AI infrastructure, high performance computing, performance optimizations, or Machine learning frameworks (e.g. PyTorch), numerics and SW/HW co-design.
- Experience developing AI-System infrastructure or AI algorithms in C/C++ or Python.
Responsibilities
- Apply relevant AI infrastructure and hardware acceleration techniques to build & optimize our intelligent ML systems that improve Meta’s products and experiences.
- Goal setting related to project impact, AI system design, and infrastructure/developer efficiency.
- Directly or influencing partners to deliver impact through deep, thorough data-driven analysis.
- Drive large efforts across multiple teams.
- Define use cases, and develop methodology & benchmarks to evaluate different approaches.
- Apply in depth knowledge of how the ML infra interacts with the other systems around it.
- Mentor other engineers / research scientists & improve the quality of engineering work in the broader team.
Preferred Qualifications
- A Bachelor’s degree in Computer Science, Computer Engineering, relevant technical field and 7+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a Master’s degree in Computer Science, Computer Engineering, relevant technical field and 4+ years of experience in AI framework development or accelerating deep learning models on hardware architectures OR a PhD in Computer Science Computer Engineering, or relevant technical field and 3+ years of experience in AI framework development or accelerating deep learning models on hardware architectures.
- Experience with distributed systems or on-device algorithm development.
- Experience with recommendation and ranking models.
- Technical leadership experience.