Staff ML Accelerator Architect

📋 Description

• Analyze inference workloads and map them efficiently to hardware, proposing novel HW-friendly
• Build scalable tools for performance modeling and evaluation of inference workloads
• Work closely with compiler and model developers to influence engineering tradeoffs and future model
• Architect, simulate and design novel hardware solutions for state-of-the-art autonomous driving
• Interact with cross-functional engineering teams to identify opportunities and realize

🎯 Requirements

• M.S. degree in Computer Science or Computer Engineering or equivalent practical experience
• 10+ years on designing/architecting complex, high performance architectures - CPUs, GPUs and/or ML
• 3+ years experience with machine learning architectures, acceleration and model optimization
• Deep knowledge of ML model architectures and their compute characteristics (bottlenecks
• Strong programming and algorithmic problem solving skills

🎁 Benefits

• Discretionary annual bonus program
• Equity incentive plan
• Generous Company benefits program