Software Engineer, Systems ML

Job Description

The role involves building and optimizing intelligent ML systems using AI infrastructure and hardware acceleration techniques. Responsibilities include driving large-scale efforts across teams, defining benchmarks, and mentoring other engineers and research scientists.

Requirements: Candidates must have a Bachelor's degree in Computer Science or a related field and specialized experience in ML systems, GPU architecture, or AI infrastructure. Proficiency in C++ or Python and experience with deep learning frameworks like PyTorch are required.

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

Benefits: Bonus, Equity