ML Architect, Compute

About the Role

In this role, you will report to a Hardware Engineering Manager.

• Analyze workloads and map them efficiently to hardware, proposing novel HW-friendly implementations and projecting performance
• Architect, simulate and design amazing machine learning solutions for our autonomous driving technology
• Work closely with compiler and model developers to influence engineering trade-offs and future model architectures
• Build scalable tools for simulator modeling and performance evaluation
• Interact with cross-functional engineering teams to identify opportunities and requirements

• BS degree in Computer Science or Computer Engineering or similar relevant technical field, or equivalent practical experience
• 3+ years on designing/architecting complex, high performance architectures
  - CPUs, GPUs and/or ML accelerators - in the industry or through doctoral research
• 1+ years experience with machine learning architectures, acceleration and model optimization
• Strong C++ programming and algorithmic problem solving skills

• 1+ years modeling high performance architectures architectures in cycle-aware simulators
• Track record of analyzing workloads and architecting, delivering novel HW+SW solutions to vastly improve performance, efficiency
• Familiarity with ML model architectures and their compute characteristics (bottlenecks, optimization opportunities)
• Experience with microarchitecture design (System Verilog or HLS)