Staff Technical Program Manager, AI Infrastructure

Job Description

About the Role

We are seeking a Staff Technical Program Manager (TPM) to leadAVMLInfrastructureprograms for our autonomous driving this role you will drive strategy and execution for large-scale ML infrastructure including training pipelines model lifecycle management compute orchestration and operational reliability that power next-generation autonomy models. You willoperateat the intersection of ML engineering platform infrastructure and operations ensuring our ML systems are scalable efficient and production-ready to support end-to-end model development at scale.

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Key Responsibilities

Program Leadership
Lead end-to-end strategic planning and execution forAIML Infrastructure programs delivering measurable improvements in training throughput platform reliability and model development velocity. Establish clear programobjectives milestones and success metrics to drive predictable high-quality delivery across multiple engineering and operations teams.

Cross-Functional Alignment
Collaborate withAIML engineering platform validation and product teams to define requirements prioritize initiatives and deliver solutions that improve AI development cycle performance and operational efficiency.

Technical Road mapping
Translate complexMLOpsneeds from distributed training orchestration to compute resource management and pipeline scaling into actionable multi-team execution plans with defined owners and measurable outcomes. Align long-term technical roadmaps with organizational goals ensuring ML infrastructure evolves to support increasing model complexity dataset scale and training workloads.

Risk & Change Management
Identify technical operational and program risks early; develop mitigation strategies that protect training timelines platform stability and service reliability.

Scalability & Performance
EnsureAIML operations processes and infrastructure are designed for long-term scalability performance and operational excellence including monitoring incident response and capacity planning.

Metrics & Visibility
Define KPIs for ML platform performance training system reliability model training cycle time and delivery velocity;maintaintransparent dashboards and executive-ready reporting. Provide leadership with clear insights into progress tradeoffs and program health to supporttimelydecision-making.

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Required Qualifications:
- 10 years of technical program management experience including leadership of large complex multi-disciplinary programs.
- 5 years working in ML Operations ML infrastructure AI platform engineering or distributedcomputeenvironments.
- BS or MS in Engineering Computer Science or a related technical field.
- Experience supporting large-scale machine learning training or AI infrastructure programs including compute orchestration pipeline reliability and resource management.
- Proventrack recordof managing large complex cross-functional programs involving infrastructure software systems and data pipelines with ambiguous or evolving requirements.
- Ability to analyze system performance metricsidentifybottlenecks and translate insights into program-level improvements.
- Exceptional communication collaboration and stakeholder management skills.
- Deep familiarity with Agile program delivery task management tools (e.g. Jira) reporting tools and technical development tooling.

Preferred Qualifications:
- Experience with GPUcomputemanagement cluster orchestration (e.g. KubernetesSlurm) or cloud infrastructure (GCP AWS).
- Familiarity with ML workflow orchestration tools (e.g. Kubeflow Airflow or similar).
- Background in SRE platform engineering or DevOps practices applied to ML systems.
- Experience with observability SLO/SLI frameworks and incident management forproductionML platforms.

Relocation: This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate.

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship entry of GM as the immigration employer of record on a government form and any work authorization requiring a written submission or other immigration support from the company (e.g. H1-B OPT STEM OPT CPT TN J-1 etc.)

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