Technical Program Manager, EDA Compute Infrastructure

at Nvidia
USD 200,000-379,500 per year
SENIOR
✅ Hybrid

Tech Stack

AI @ 4 Agile @ 4 Communication @ 9 Deep Learning @ 6 DevOps @ 4 GPU @ 6 Machine Learning @ 6 Software Development @ 4

Details

Hardware Infrastructure is seeking a Senior Technical Program Manager to lead the strategy and execution of programs supporting the reliability, scalability, and modernization of the infrastructure that supports NVIDIA's hardware ecosystem. This infrastructure directly supports the development and tapeout of NVIDIA's chips and must be highly reliable, performant, and efficient for internal users.

The role partners with senior management to plan future programs and works with internal customers to align across the company and achieve excellent execution. It also involves collaboration with cloud service provider and software tooling partners, leading close engineering engagements. The successful candidate will develop and standardize planning, reporting, execution methodologies, and metrics to meet challenging objectives in a fast-paced environment.

Responsibilities

  • Engage with cross-company partners to plan programs and coordinate teams to meet key business objectives.
  • Guide engineering programs across planning, forecasting, documentation, scheduling, meeting effectiveness, multi-faceted prioritization, dependency management, reporting, and handling critical and blocking issues.
  • Guide engineering teams in the use of agile methodologies.
  • Develop and implement metrics to measure program effectiveness and identify improvement areas.
  • Collect and analyze data to support planning and data-driven decisions.
  • Report overall program status and provide insights and recommendations to senior management.
  • Drive organizational alignment and efficiency by coordinating with multifunctional leads and streamlining processes.
  • Guide teams designing for advanced, complex, competing, and often conflicting customer requirements.
  • Moderate technical discussions to successful conclusions.
  • Act as a liaison between developers and customers and between technical and non-technical audiences.
  • Cultivate a culture of continuous improvement and identify opportunities for process enhancements.

Requirements

  • Bachelor's degree or equivalent experience.
  • 12 or more years of program management experience, including demonstrated ability to manage global projects and work across multiple time zones.
  • Demonstrated skill engaging and moderating successful engagements with engineering partners and vendors.
  • Exceptional communication and presentation skills for diverse technical and non-technical audiences.
  • In-depth understanding of software engineering principles and quality requirements in enterprise systems.
  • Strong multitasking abilities, thoroughness, and ability to rapidly switch contexts.
  • Knowledge of agile methodologies, project planning, and task-tracking tools.
  • Proactive and enthusiastic approach to identifying and implementing positive changes in software engineering and release management within a fast-paced environment.

Preferred Qualifications

  • Background in computer science, machine learning, deep learning, open-source software, infrastructure technologies, or GPU technology.
  • Experience with infrastructure software, production application software development, software development, release and support methodologies, and DevOps.
  • Experience managing customer workflows using large-scale distributed computing and working with AI researchers or directly training AI models.
  • Consistent track record of driving process improvements and measuring efficiency.
  • Passion for sharing knowledge and experience while driving complex projects end to end.

Compensation and Benefits

  • Expected base salary for Level 5: $200,000–$322,000 USD per year.
  • Expected base salary for Level 6: $240,000–$379,500 USD per year.
  • Eligible for equity and benefits.
  • Applications will be accepted at least until November 6, 2026.
  • NVIDIA is an equal opportunity employer committed to fostering an inclusive work environment.

NVIDIA uses AI tools in its recruiting processes.

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