Director, AI Research - Recursive Self-Improvement

AMD
Santa Clara
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Education: phdSkills: ["Technical leadership","Cross-functional collaboration","Research leadership","Mentoring","Communication"]

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

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FursaFursa
AMD
AMD
1 month ago

Director, AI Research - Recursive Self-Improvement

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Last checked: 18 hours agoStatus: Live

Job Summary

Lead AMD’s recursive self-improvement (RSI) agenda by using AI and reinforcement learning to measurably improve hardware design, kernel and compiler optimization, and engineering workflows. Build and mentor an AI research team, set technical direction, and drive RL experiments on targets like kernel/PPA optimization, design-space exploration, and code/workflow generation. Own evaluation and verification infrastructure, manage failure modes, and partner cross-functionally to embed results into real engineering flows.
Location: Santa Clara
Workplace: Hybrid
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 for hardware, kernels, compilers, and engineering workflows.
  • •Build, lead, and mentor an AI research team; set research direction, hiring bar, and standards for technical rigor.
  • •Drive RL-based research toward concrete internal targets including kernel and PPA optimization, design-space exploration, and code/workflow generation.
  • •Design and own verification and evaluation infrastructure (fast simulators, slice verifiers, benchmarks) for safe loop operation.
  • •Partner across silicon, architecture, compiler, and engineering-productivity teams to embed research into real AMD design and development flows.

Key Requirements

  • •PhD in Computer Science, Electrical Engineering, Machine Learning, or related field, or equivalent research experience with demonstrated impact.
  • •Demonstrated technical leadership in AI/ML research, with a 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 failure modes of RL 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, with the ability to remain hands-on while leading.
Education:PhD / Doctorate in Computer Science, Electrical Engineering, Machine Learning, or related field
Skills:Technical leadershipCross-functional collaborationResearch leadershipMentoringCommunication
Languages:En-us

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
WebsiteLinkedIn