Senior Technical Program Manager, DGX Cloud Production Engineering
US, CA, Santa Clara, US, WA, SeattlePosted Oct 27, 2026
Overview
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NVIDIA is looking for a Senior Technical Program Manager to partner with Production Engineering and drive execution across critical DGX Cloud initiatives. This role is ideal for a senior TPM who thrives in highly technical environments and can help scale the systems, processes, and cross-team coordination required to deliver reliable AI infrastructure in production. You will connect engineering priorities to execution, improve readiness and operational rigor, and lead complex programs from planning through delivery.
What you’ll be doing
• Partner with Production Engineering leaders and technical leads on high-priority infrastructure and platform programs.
• Define and drive program charters, schedules, milestones, ownership models, and success criteria for complex technical initiatives.
• Lead cross-functional execution across engineering, operations, reliability, and partner teams.
• Improve program governance, readiness reviews, risk tracking, escalation handling, and leadership visibility.
• Build repeatable frameworks that strengthen execution quality across production engineering programs.
• Identify gaps in ownership, process, or decision-making and drive practical improvements.
• Help teams align on priorities, technical dependencies, and delivery tradeoffs.
• Support programs related to production readiness, operational scale, automation, and reliability.
• Communicate program status, risks, and recommendations clearly to both technical and leadership audiences.
What we need to see
• 12+ years of technical program management experience in production engineering, infrastructure software, cloud platforms, or related domains.
• Strong record of leading large, cross-functional technical programs with operational impact.
• Experience building execution structure in ambiguous or fast-moving environments.
• Ability to work credibly with engineering leaders on readiness, reliability, automation, and production operations.
• Demonstrated success improving delivery predictability through better planning, governance, and cross-team coordination.
• Strong communication and stakeholder management skills across technical and business audiences.
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
Ways to stand out from the crowd
• Experience in production infrastructure, cloud operations, platform engineering, or site reliability.
• Background in large-scale Kubernetes, distributed systems, or infrastructure automation.
• Experience building new operating models or execution frameworks in growing organizations.
• Ability to combine strategic thinking with deep execution discipline.
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
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 31, 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.
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Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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