Director, Applied AI Research - Compute & Hardware

Tasks

• Build fast verifiers and benchmarks
• Collaborate across silicon architecture compiler and AI for hardware teams
• Communicate progress and trade offs to leadership
• Define applied AI research agenda for compute and hardware
• Design evaluation simulation and verification infrastructure
• Detect and mitigate reinforcement learning failure modes
• Lead applied research team
• Mentor applied researchers and research engineers
• Own end to end research to impact workflow
• Set measurable outcomes and track performance gains
• Translate reinforcement learning and AI for systems research into applied opportunities
• Use recursive self improvement loops
• Validate results with engineering partners

Perks/Benefits

• N/A

Skills/Tech-stack

AI for systems | Benchmarking | Co-design | Compiler optimization | Design Space Exploration | Design space | Evaluation | Hardware-Software Co-design | Hardware/software | Kernel optimization | Machine Learning | Reinforcement Learning | Reward Hacking | Reward Modeling | Reward hacking detection | Simulation | Software Co-design | Space exploration | Training pipelines | Verification