AI Research Scientist, Hardware AI Systems
Santa Clara, CA$204kFull-timePosted 3mo ago
About the role
AI Research Scientist role at AMD focusing on generalizable AI systems across hardware engineering contexts, RTL/verification/PD flows, and toolchains, with emphasis on metareasoning, representation learning across silicon design flows, and long-horizon RL in silicon signoff.
Responsibilities
- Research transfer and multi-task learning for engineering agents across IP blocks, tools, and program generations
- Develop metareasoning policies for budgeting expensive EDA steps, selecting abstractions, and recovering from tool or data failures
- Build cross-program benchmarks and datasets that expose generalization gaps and track progress over time
- Collaborate with RL scientists on reward shaping and credit assignment when feedback is slow or heterogeneous
- Publish at top venues where appropriate; maintain internal technical standards for “generalization claims” backed by evidence
Qualifications
- PhD in Computer Science, Machine Learning, or related field strongly preferred
- Deep technical expertise and proven research experience in machine learning (ML), with emphasis on transfer learning, meta-learning, intelligent agents, and long-horizon reinforcement learning (RL)
- Exposure to hardware development (RTL, verification, PD, or bring-up) or willingness to ramp with embedded experts
- Experience with Large Language Models (LLM) tool use, planning, or hierarchical control in real toolchains
Skills
Required:Transfer learningMeta-learningReinforcement learning (long-horizon)
Nice to have:MetareasoningHardware development exposure
Benefits
- Benefits offered are described: AMD benefits at a glance.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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