Senior Technical Program Manager, DGX Cloud Production Engineering
at Nvidia
USD 200,000-322,000 per year
Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Communication @ 7
Distributed Systems @ 6
Kubernetes @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is seeking a Senior Technical Program Manager to partner with Production Engineering and drive execution across critical DGX Cloud initiatives. The role focuses on scaling the systems, processes, and cross-team coordination required to deliver reliable AI infrastructure in production. The successful candidate will connect engineering priorities to execution, improve readiness and operational rigor, and lead complex programs from planning through delivery.
Responsibilities
- 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 technical and leadership audiences.
Requirements
- 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 structures 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.
Preferred Qualifications
- 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.
Compensation and Benefits
- Base salary range: USD 200,000–322,000 per year, determined by location, experience, and pay for similar positions.
- Eligible for equity and benefits.
- NVIDIA offers a comprehensive benefits package.
Applications will be accepted at least until October 31, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.
More jobs at Nvidia
Deep Learning Scientist Intern, LLM, Multimodal, and Agentic AI - Summer 2027
Nvidia · Santa Clara, United States
USD 20-94 per hour
Senior Software Engineer - Autonomous Vehicles
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Networking Software Architect
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Senior Software Developer, AI Networking
Nvidia · Santa Clara, United States
USD 152,000-287,500 per year
Senior Machine Learning Engineer, AI Safety Evaluations
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year
Similar jobs
Staff+ Software Engineer, Deployment
Anthropic · San Francisco, United States, New York City, United States, Seattle, United States
USD 405,000-485,000 per year
Field CTO, Financial Services AI Infrastructure
Nebius · United States, New York City, United States
USD 210,000-260,000 per year
Technical Program Manager, Inference
Anthropic · San Francisco, United States, New York City, United States
USD 290,000-435,000 per year
Manager, Software Engineering
Nvidia · Santa Clara, United States
USD 224,000-431,200 per year
Software Engineer, Infrastructure Engineering
Reddit · United States
USD 164,000-229,000 per year
Staff Software Engineer, Tech Foundations
Airbnb · United States
USD 212,000-265,000 per year
Senior Staff Software Engineer - Agentic IT Operations
Nvidia · Santa Clara, United States
USD 200,000-322,000 per year
ML Ops DSX Senior Engineer
Nvidia · Santa Clara, United States
USD 184,000-356,500 per year