NVIDIASenior Technical Program Manager - EDA Cluster Builds and Decoms
NVIDIA is hiring a Senior Technical Program Manager - EDA Cluster Builds and Decoms in Santa Clara, United States. It pays $200k-$322k a year and Level rates it ; you can apply on NVIDIA.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Kubernetes, Docker and Python among its tools and skills.
- Level classes it as a senior role.
- NVIDIA has 2,700+ other open roles on Level.
AI in this role
Lead infrastructure program management for hardware EDA cluster builds and operations supporting chip development roadmaps.
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.How we rate this
Senior Technical Program Manager - EDA Cluster Builds and Decoms at NVIDIA rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where program management was part of your work. What did you do?
- Tell me about a project where distributed computing was part of your work. What did you do?
- Tell me about a project where hardware infrastructure was part of your work. What did you do?
- What's a project where you used Kubernetes hands-on?
- Walk me through how you've used Docker in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Program Management, Distributed Computing, Hardware Infrastructure, Kubernetes, and Docker. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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