Technical Program Manager, AI Research Engineering - CA, Santa Clara, United States
Originally posted 17 September 2026 by the employer — open 1 day.
About the role
This role involves driving execution across AI Research Engineering, Applied AI, ML Systems, and AI/ML Platform teams at AMD. The scope includes coordinating 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.
What you'll do
- 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.
- Drive pilot and production readiness, including rollout plans, documentation, support, and retrospectives.
What you'll need
- Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent practical experience.
Nice to have
- 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.
- 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.
Skills: technical program manager, AI/ML workflows, ML systems, GPU platforms, hardware/software optimization
This role has been open 1 day — well below the 53-day median for Technical Program Management roles.
Technical Program Management · AI ML Hardware
|
Open roles in category
67
|
Median days open
53 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (67 roles · 18 employers) |
|---|---|---|
| Open roles in this specialty | 6 | 67 |
| Median days open | 41 d | 53 d (−12 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: technical program manager, AI/ML workflows, ML systems, GPU platforms, hardware/software optimization
Who's hiring in this category
- NVIDIA · 19 open roles · median 78 d
- Qualcomm · 9 open roles · median 53 d
- Lam Research · 8 open roles · median 39 d
- AMD (this employer) · 6 open roles · median 41 d
- Micron Technology · 5 open roles · median 36 d
- Tenstorrent · 3 open roles · median 86 d
How we counted: 67 open Technical Program Management (AI ML Hardware) roles from 18 employers tracked in the SemiconductorJobs index, counted 19 Sept 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there. Figures refresh nightly.