AI Cluster Technical Program Manager – Validation, Debug & Agentic AI - TX, Austin_Research Park, United States
Originally posted 29 July 2026 by the employer.
About the role
This role leads execution of AI cluster engineering programs with a focus on GPU platforms, rack-level solutions, and AI cluster validation. It drives end-to-end delivery from GPU + server integration through rack bring-up, scale testing, failure analysis, and system debug closure, ensuring platform readiness for hyperscale and enterprise AI deployments.
What you'll do
- Define, plan, and drive program plans for AI infrastructure systems validation and readiness, including server integration, rack bring-up, and cluster-scale deployment readiness.
- Own program execution for GPU-based AI platforms, spanning system bring-up, qualification, scale readiness, and deployment validation across server, rack, and cluster levels.
- Lead end-to-end delivery of rack-level AI solutions, including compute trays, switch trays, cabling, power, cooling, and management infrastructure.
- Act as the execution lead for platform debug, coordinating across engineering teams for fast triage, root-cause analysis, and resolution of system-level issues.
- Lead end-to-end system rack and cluster-level debug activities during validation, deployment, and fleet operations, driving rapid fault isolation and root-cause analysis.
- Champion Agentic AI and AIOps solutions for automated incident triage, log analysis, root-cause identification, and operational workflow automation at scale.
- Identify opportunities to leverage Agentic AI capabilities across validation and debug workflows.
What you'll need
- Experience leading complex hardware or AI infrastructure programs with ownership across bring-up, validation, and deployment phases.
- Technical understanding of GPU-based AI systems, rack architectures, and datacenter infrastructure.
- Ability to manage ambiguity, drive debug execution, and lead cross-functional teams without direct authority.
- Written and verbal communication skills, including executive-level status reporting.
- Proficiency with program management and execution tools (Jira, Confluence, dashboards, Excel/PowerPoint).
- Bachelor’s or master’s degree in systems, EE, CS, or related engineering discipline.
Nice to have
- Hands-on experience with GPU cluster scale testing, system stress, or performance validation.
- Familiarity with rack-level bring-up, power/cooling constraints, networking, and failure modes at scale.
- Experience working through hardware/firmware debug cycles in pre-production or customer-facing environments.
- Experience managing fleet-scale validation and deployment of AI, cloud, HPC, or hyperscale infrastructure.
- Understanding of infrastructure observability, telemetry pipelines, log analytics, and incident management frameworks.
- PMP, Scrum Master, or equivalent program management training.
Skills: AI infrastructure, data center GPUs, cluster deployments, validation, debug, program management
This role has been open 81 days — well above the 66-day median for Technical Program Management roles.
Technical Program Management · AI ML Hardware
|
Open roles in category
64
|
Median days open
66 d
|
Median salary
$245k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | AMD | All employers we track in this specialty (64 roles · 19 employers) |
|---|---|---|
| Open roles in this specialty | 6 | 64 |
| Median days open | 45 d | 66 d (−21 d vs this employer) |
| Median salary (USD postings) | — | $245k |
Skills observed across this category: AI infrastructure, data center GPUs, cluster deployments, validation, debug, program management
Who's hiring in this category
- NVIDIA · 15 open roles · median 81 d
- Micron Technology · 11 open roles · median 17 d
- Qualcomm · 7 open roles · median 72 d
- AMD (this employer) · 6 open roles · median 45 d
- Tenstorrent · 4 open roles · median 67 d
- Lam Research · 3 open roles · median 66 d
How we counted: 64 open Technical Program Management (AI ML Hardware) roles from 19 employers tracked in the SemiconductorJobs index, counted 18 Oct 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.