AI Research Scientist, Hardware AI Systems
Core
Develop AI systems that generalize across hardware engineering contexts, SoC programs, toolchains, and process nodes without bespoke retraining.
Role type
Senior IC AI Research Scientist (Hardware Systems)
Builds
Reusable models, benchmarks, and transfer protocols for AMD's hardware roadmap
Domain
Semiconductor hardware engineering + Machine Learning
Deliverable
production ML models
Required skills
transfer learning, meta-learning, intelligent agents, long-horizon reinforcement learning, distribution shift analysis, domain adaptation, LLM tool use, hierarchical control
Preferred skills
hardware development (RTL, verification, physical design), silicon signoff workflows, embedded systems
Technologies
EDA tools, simulators, LLMs
Responsibilities
Research transfer and multi-task learning for engineering agents; Develop metareasoning policies for EDA budgeting and failure recovery; Build cross-program benchmarks and datasets; Collaborate on reward shaping for slow/heterogeneous feedback; Publish research and maintain technical standards for generalization claims
Seniority
Senior, hands-on IC
