Director, AI Research
Santa Clara, California$246.4k - $369.6kFull-timePosted 2mo ago
About the role
Director of AI Research to lead and set a research agenda at the intersection of frontier AI and AMD silicon, building and guiding a team to translate research into tangible impact on AMD products, hardware roadmap, and platforms.
Responsibilities
- Define and own a coherent AI research agenda spanning reinforcement learning, model training and optimization, and AI-for-systems, aligned to AMD's strategic priorities
- Build, lead, and mentor a high-caliber team of AI researchers and research engineers; set research direction, hiring bar, and standards for technical excellence
- Prioritize across competing research opportunities and focus the team on the work with the highest leverage for AMD
- Ensure research translates into impact—influencing the hardware and software roadmap, improving model performance on AMD platforms, and strengthening external partnerships
- Partner deeply across silicon, architecture, compiler, and software teams, and with external labs and collaborators, to ground research in real problems and real deployment
- Build the evaluation, infrastructure, and verification practices that make research results trustworthy and reproducible
- Set and track measurable goals for the research program—verifiable technical milestones, model and workload performance, and roadmap influence
- Represent AMD's research agenda to executive leadership and to external partners; communicate results, trade-offs, and direction to both technical and business audiences
- Attract, hire, and develop top AI research talent, and help build AMD's reputation as a destination for serious AI research
- Stay at the frontier of AI research and translate emerging techniques into opportunity for AMD
Qualifications
- PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field, or equivalent research experience and demonstrated impact
- Demonstrated technical leadership in AI/ML research, with a strong track record of impactful published work and/or research shipped into production or frontier models
- Deep, current expertise in one or more core areas—reinforcement learning, large-scale model training, AI-for-systems, or AI performance optimization—with the breadth to lead across several
- Experience leading research teams and setting technical direction across multiple concurrent programs
- Strong understanding of the hardware–software stack underpinning large-model training and inference
- Ability to remain hands-on with training pipelines, research prototyping, or systems work while leading a team
- Excellent communication skills, with the ability to influence executives, partners, and engineers across organizational boundaries
- Track record of attracting, hiring, and developing top AI research talent
Skills
Required:AI research leadershipReinforcement learningLarge-scale model trainingAI-for-systemsHardware–software understandingLeadership and people management
Benefits
- AMD benefits at a glance (referenced in posting)
Last updated Oct 15, 2026. Interested? Apply on the company site.
About AMD
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