Director, AI Research - Recursive Self-Improvement

AMD
Santa Clara
Workplace: OnsiteFull timeFunction: Research & Scientific (R&D)Education: phdSkills: ["Technical leadership","Cross-functional collaboration","Research leadership","Hands-on problem-solving","Communication"]

Lead AMD’s recursive self-improvement (RSI) agenda using reinforcement learning to measurably improve hardware design, kernel and compiler optimization, and engineering workflows. Build and mentor a research team, set technical direction, and drive RL research on internal targets like design-space exploration and code/workflow generation. Own verification and evaluation infrastructure, tackle RL failure modes (reward hacking, evaluation gaming), and partner cross-functionally to embed results into real engineering flows.

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FursaFursa
AMD
AMD
2 days ago

Director, AI Research - Recursive Self-Improvement

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Job Summary

Lead AMD’s recursive self-improvement (RSI) agenda using reinforcement learning to measurably improve hardware design, kernel and compiler optimization, and engineering workflows. Build and mentor a research team, set technical direction, and drive RL research on internal targets like design-space exploration and code/workflow generation. Own verification and evaluation infrastructure, tackle RL failure modes (reward hacking, evaluation gaming), and partner cross-functionally to embed results into real engineering flows.
Location: Santa Clara
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Director level

Key Responsibilities

  • •Define and own AMD’s internal recursive self-improvement research agenda, including how gains compound over time.
  • •Build, lead, and mentor a team of AI researchers and research engineers; set research direction, hiring bar, and technical rigor.
  • •Drive RL-based research on concrete internal targets including kernel and PPA optimization, design-space exploration, and code/workflow generation with measurable improvement.
  • •Design and own verification and evaluation infrastructure (fast simulators, slice verifiers, benchmarks) to run self-improvement loops safely and reliably.
  • •Partner deeply with silicon, architecture, compiler, and engineering-productivity teams to embed research into real AMD design and development workflows.

Key Requirements

  • •PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent research experience with demonstrated impact.
  • •Demonstrated technical leadership in AI/ML research, with a track record of impactful published work and/or research shipped into production systems.
  • •Deep, current expertise in reinforcement learning, including reward modeling, training pipelines, and practical RL failure modes at scale.
  • •Hands-on understanding of AI-for-systems problems such as code generation, compiler/kernel optimization, design-space exploration, or hardware/software co-design.
  • •Experience leading research teams and setting technical direction across multiple concurrent programs.
Experience:AI/ML researchReinforcement learningHardware-software co-designDesign-space exploration
Education:PhD / Doctorate
Skills:Technical leadershipCross-functional collaborationResearch leadershipHands-on problem-solvingCommunication
Languages:En-us
Tech Stack:Reinforcement learningAI/MLReward modelingTraining pipelinesReward-signal scalingCode generationCompiler optimizationKernel optimizationDesign-space explorationHardware/software co-designVerification and evaluation infrastructureFast simulatorsBenchmarksSlice verifiers

Company Brief

AMD
Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1969
Glassdoor
Glassdoor: 3.9
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