Job description

Hardware Infrastructure is seeking a Senior Technical Program Manager to lead the strategy and execution of programs to support the bringup, decom and operations and modernization of the infrastructure that supports the NVIDIA's Hardware EDA ecosystem. Given this Infrastructure directly supports our near-term and long-term chip roadmap, it must be highly reliable, performant and efficient for our internal users. This is a fast paced and evolving landscape that requires a TPM to guide engineering roadmaps to be delivered with high quality outcomes and a strong foundation of operational excellence. They will partner both internally within Hardware Infrastructure and externally with senior management and partners of other business units to scale the EDA Infrastructure charter. They will develop and standardize planning, reporting and execution methodologies and metrics to enable meeting the challenging objectives. What You'll Be Doing: • Engage with cross-company partners to shape the technical strategy, build and decom programs and coordinate execution to meet key business objectives that support scaling bringups to be seamless, fast and efficient • Nurture a culture of continuous improvement, finding new opportunities across tooling, automation and processes to scale cluster build operations and management • Guide a diverse set of engineering efforts in an agile program methodology across planning, prioritization, design, dependency management, implementation and execution. • Bring a data-first approach to programs (metrics, OKRs, KPIs) to effectively measure program success and for identifying areas of improvement • Create effective communication channels to provide varying audience levels insights into program status, risks and opportunities. • Act as an effective technical and non-technical liaison between developers, customers and partners to drive organization alignment across a multi-functional matrixed set of leads What We Need To See: • B.S. (or equivalent experience) in Electrical Engineering, Computer Science or a related technical field • 12+ years of proven experience across software or hardware engineering and/or technical program management roles with demonstrated expertise and mastery of technical and management practices • Prior experience in infrastructure software, production application software development and large scale distributed computing • Experience handling large scale EDA infrastructure with various CPU/GPU architectures, coupled with an extensive understanding of the semiconductor design and manufacturing processes and associated EDA tools and flows • Exceptional communication and presentation skills for diverse technical and non-technical audiences • Strong multitasking abilities with a focus on thoroughness and rapid context switching • Knowledge of agile methodologies and the best in class project management tools • Proactive and enthusiastic in identifying and implementing positive changes in software engineering and release management within a fast-paced environment Ways To Stand Out From The Crowd: • Deep experience with Infrastructure cluster buildouts and NPI hardware evaluation • Engaged experience in modernizing EDA Infrastructure solutions and capabilities to provide a Platform as a Product offering to its users • Prior experience migrating platforms and solutions from on prem to cloud • Software development, release and support methodology and devops NVIDIA offers highly competitive salaries and a comprehensive benefits package. We have some of the most forward-thinking and hardworking people in the world on our team and our collaborative talent continues to drive NVIDIA's growth. We are seeking creative and independent engineers with real passion for technology! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 3, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Requirements

Must-haves

Engage with cross-company partners to shape the technical strategy, build and decom programs and coordinate execution to meet key business objectives that support scaling bringups to be seamless, fast and efficient
Nurture a culture of continuous improvement, finding new opportunities across tooling, automation and processes to scale cluster build operations and management
Guide a diverse set of engineering efforts in an agile program methodology across planning, prioritization, design, dependency management, implementation and execution.
Bring a data-first approach to programs (metrics, OKRs, KPIs) to effectively measure program success and for identifying areas of improvement
Create effective communication channels to provide varying audience levels insights into program status, risks and opportunities.
Act as an effective technical and non-technical liaison between developers, customers and partners to drive organization alignment across a multi-functional matrixed set of leads
B.S. (or equivalent experience) in Electrical Engineering, Computer Science or a related technical field
12+ years of proven experience across software or hardware engineering and/or technical program management roles with demonstrated expertise and mastery of technical and management practices
Prior experience in infrastructure software, production application software development and large scale distributed computing
Experience handling large scale EDA infrastructure with various CPU/GPU architectures, coupled with an extensive understanding of the semiconductor design and manufacturing processes and associated EDA tools and flows
Exceptional communication and presentation skills for diverse technical and non-technical audiences
Strong multitasking abilities with a focus on thoroughness and rapid context switching
Knowledge of agile methodologies and the best in class project management tools
Proactive and enthusiastic in identifying and implementing positive changes in software engineering and release management within a fast-paced environment
Deep experience with Infrastructure cluster buildouts and NPI hardware evaluation
Engaged experience in modernizing EDA Infrastructure solutions and capabilities to provide a Platform as a Product offering to its users
Prior experience migrating platforms and solutions from on prem to cloud
Software development, release and support methodology and devops
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

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Keywords to mirror

agileai

Platform: eightfold
Effort: medium