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.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.Skills Required
- B.S. in Electrical Engineering, Computer Science or related field
- 12+ years of experience in software/hardware engineering or technical program management
- Experience in infrastructure software and large scale distributed computing
- Experience with CPU/GPU architectures and semiconductor design processes
- Exceptional communication skills for technical and non-technical audiences
- Knowledge of agile methodologies and project management tools
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
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