Software Engineer, Systems ML

Job Description

The role involves building and optimizing intelligent ML systems using AI infrastructure and hardware acceleration techniques. The engineer will drive large-scale efforts across teams, define benchmarks, and mentor other engineers and research scientists.

Requirements: Candidates need specialized experience in ML/DL domains such as GPU architecture or ML frameworks and proficiency in C++ or Python. A Master's or PhD in Computer Science or Computer Engineering is preferred along with technical leadership experience.

Key Skills: AI Infrastructure, Hardware Acceleration, GPU Architecture, ML Compilers, High Performance Computing, PyTorch, C++, Python, Distributed Systems, On-device Algorithm Development, Recommendation Models, Ranking Models, Prompt Engineering, Agent Orchestration, SW/HW Co-design, Performance Optimization

Benefits: Bonus, Equity