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Staff Technical Program Manager, AI Training Program

  • Ubicación
    • Sunnyvale, California
  • Tipo de trabajo Full time
  • Publicado
  • Job Requisition JR-202611311

Descripción

Staff Technical Program Manager, AI Training Program

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard – from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

We are seeking a Staff Technical Program Manager (TPM) to lead the AI Training Program for our autonomous driving platform. In this role, you will own strategy and execution for large‑scale data, tooling, and training pipelines that power next‑generation autonomy models. You will operate at the intersection of AI research, infrastructure, operations, and product – ensuring seamless ingestion, processing, and deployment of massive datasets that accelerate end‑to‑end model development.

What You’ll Do

  • Program Leadership: Own end‑to‑end delivery of the AI Training Program, driving measurable improvements in training throughput, dataset readiness, and model velocity. Set clear OKRs, milestones, and execution plans across multiple teams.

  • Cross-Functional Alignment: Partner with AI/ML, infrastructure, validation, and product teams to define requirements, prioritize roadmap tradeoffs, and ensure execution against critical development timelines.

  • Technical Roadmapping: Translate complex systems challenges—distributed training, data pipelines, compute scaling—into actionable plans with clear ownership, dependencies, and success metrics.

  • Scalability & Performance: Drive the design and evolution of highly scalable, reliable training pipelines capable of supporting rapidly growing datasets and compute demands.

  • Risk & Dependency Management: Proactively identify risks and cross-team dependencies, implement mitigation strategies, and maintain program stability in a fast-moving, ambiguous environment.

  • Operational Excellence: Establish repeatable processes, tooling, and governance to improve execution efficiency and program predictability.

  • Metrics & Visibility: Define and track KPIs (training cycle time, system utilization, model throughput); deliver clear, executive-ready insights to guide prioritization and decision-making.

Your Skills & Abilities (Required Qualifications)

  • 10+ years of technical program management experience leading large, complex, cross-functional initiatives.

  • 5+ years working with AI/ML systems, model training pipelines, robotics, autonomous systems, or large-scale distributed compute environments

  • BS or MS in Engineering, Computer Science, or a related technical field

  • Strong understanding of both hardware and software systems, with experience partnering closely with engineering teams

  • Experience delivering large-scale AI/ML infrastructure or training programs involving data pipelines, compute, and tooling

  • Proven ability to manage ambiguity and drive alignment across engineering, product, and operations stakeholders

  • Strong analytical mindset with experience using data to identify bottlenecks and drive system-level improvements

  • Excellent communication and stakeholder management skills, with the ability to influence at all levels

  • Deep familiarity with Agile delivery, program tracking tools (e.g., JIRA), and data/reporting frameworks

What will give you a competitive edge (Preferred Qualifications)

  • Experience scaling AI/ML training platforms for autonomous systems, robotics, or large-scale perception workloads

  • Strong familiarity with distributed training frameworks and data pipeline ecosystems (e.g., PyTorch, Spark, Airflow)

  • Experience with cloud or high-performance compute environments, including GPU/accelerator-based training infrastructure

  • Proven ability to influence technical strategy and drive alignment across senior engineering and product stakeholders

Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position, as well as geography of the selected candidate.

  • The salary range for this role is $159,400 - $245,000. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: An incentive pay program offers payouts based on company performance, job level, and individual performance.

  • Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

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.)

Este puesto se desempeña remotamente, pero si el candidato seleccionado vive dentro de un radio específico de una milla de un centro de GM, deberá presentarse en el lugar tres veces por semana {o con otra frecuencia indicada por su líder}.

Este puesto podría ser elegible para beneficios de relocalización.

Información sobre diversidad

General Motors se compromete a ser un lugar de trabajo en el cual no solo no haya discriminación indebida, sino que fomente con sinceridad la inclusión y el sentido de pertenencia. Creemos firmemente que la diversidad del personal crea un entorno en el cual nuestros empleados pueden prosperar y desarrollar mejores productos para nuestros clientes. Instamos a los candidatos interesados a que revisen las responsabilidades y aptitudes clave para cada puesto y se postulen para los puestos que coincidan con sus habilidades y capacidades. Es posible que, cuando corresponda, se les pida a los solicitantes que están en el proceso de contratación que completen satisfactoriamente una o más evaluaciones relacionadas con su función y/o una evaluación previa al empleo antes de comenzar a trabajar.  Para obtener más información, visite Cómo contratamos.

Declaración de igualdad de oportunidades en el empleo (EE.UU.)

General Motors se enorgullece de ser un empleador que ofrece igualdad de oportunidades.  Todos los solicitantes calificados serán tenidos en cuenta para el empleo sin distinción de raza, color, religión, sexo, orientación sexual, identidad de género, nacionalidad, discapacidad o condición de veterano protegido. 

Adecuaciones (EE.UU. y Canadá)

General Motors ofrece oportunidades a todos los solicitantes de empleo, incluyendo las personas con discapacidades. Si necesita una adecuación razonable para ayudarle con su búsqueda o solicitud de empleo, envíenos un correo electrónico a [email protected] o llámenos al 800-865-7580. En su correo electrónico, incluya una descripción del puesto específico que está solicitando, así como el título del empleo y el número de solicitud del puesto que está solicitando.

 

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