Technical Program Manager, AI Research Engineering

Advanced Micro Devices, Inc•Santa Clara, CA

2d•Hybrid

About The Position

ADVANCE YOUR CAREER. ADVANCE THE WORLD. At AMD, we believe technology has the power to solve the world’s most important challenges. From advancing healthcare and scientific discovery to powering AI and the technologies people rely on every day, innovation at AMD is shaping the future. Whether you’re designing next-gen processors, enabling AI breakthroughs, or bringing leading edge products to market, every role at AMD contributes to something bigger — technology that moves the world forward. Join us and, together, we’ll advance your career. THE ROLE: We are seeking a Technical Program Manager to drive execution across AI Research Engineering, Applied AI, ML Systems, and AI/ML Platform teams. This role will coordinate programs spanning AI/ML workflows, reinforcement learning, inference, evaluation infrastructure, agentic/recursive self-improvement systems, and shared platforms supporting hardware and software optimization, verification, simulation, and performance engineering. THE PERSON: This is a hands-on TPM role for someone who can translate complex technical strategy into clear execution plans and work credibly with ML engineers, AI engineers, platform engineers, research scientists, and hardware/software domain experts.

Requirements

Strong experience in Technical Program Management, Engineering Program Management, or equivalent within complex software, AI/ML, or engineering environments.
Strong technical fluency in AI/ML systems, software engineering, distributed systems, or ML infrastructure.
Proven ability to manage multiple complex workstreams with ambiguous requirements and shifting priorities.
Excellent communication skills with engineers, researchers, technical leaders, and executives.
Strong skills in program planning, dependency management, risk management, milestone tracking, and executive-level status reporting.
Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent practical experience.

Nice To Haves

Experience with AI/ML, ML systems, developer platforms, or internal AI tooling.
Familiarity with GPU computing, CUDA/ROCm/HIP, distributed training/inference, Kubernetes, Ray, or Slurm.
Experience in semiconductor, EDA, verification, firmware, compilers, or HPC.
Experience with agent frameworks, LLM tool use, benchmark automation, experiment tracking, or evaluation platforms.
Experience bridging research prototypes and production engineering systems.
Experience operating in matrixed, cross-functional organizations.

Responsibilities

Lead planning and execution of complex, cross-functional AI/ML and engineering programs, including milestones, dependencies, resources, risks, and critical paths.
Translate ambiguous technical goals into structured plans, workstreams, success metrics, and acceptance criteria.
Align engineering, research, platform, and hardware/software teams on priorities, scope, and delivery.
Establish execution rhythms, track milestones and blockers, and provide clear executive-level status reporting.
Coordinate platform and AI workflow initiatives involving benchmarking, evaluation, experiment tracking, distributed training/inference, and automation.
Track measurable outcomes such as performance, correctness, regression rates, adoption, experiment throughput, and infrastructure utilization.
Drive pilot and production readiness, including rollout plans, documentation, support, and retrospectives.
Identify recurring delivery bottlenecks and drive improvements to processes, staffing, and technical roadmaps.