Director, Applied AI Research - Compute & Hardware
Core
Lead applied AI research using agents, reinforcement learning, and recursive self-improvement to optimize AMD's compute and hardware systems.
Role type
Director, Applied AI Research (Compute & Hardware)
Builds
Optimized compute and hardware systems, evaluation/simulation infrastructure, and verified performance gains.
Domain
Semiconductor hardware, AI systems, and compute architecture.
Deliverable
production ML models
Required skills
Reinforcement learning, AI-for-systems, kernel/compiler optimization, design-space exploration, team leadership, research-to-production execution, simulation/verification infrastructure design, cross-functional collaboration.
Preferred skills
Hands-on prototyping with training pipelines, attracting top research talent, managing multiple concurrent workstreams.
Technologies
Reinforcement learning agents, recursive self-improvement loops, kernel optimizers, compilers, simulation frameworks.
Responsibilities
Define applied AI research agenda for compute/hardware, build and mentor research teams, design evaluation/verification infrastructure, mitigate RL failure modes, partner with engineering teams to land research in real flows, track measurable performance outcomes.
Seniority
Director, strategic leadership with hands-on technical execution.
