
Pioneering accelerated computing and AI
Senior Technical Program Manager, Cloud Infrastructure at NVIDIA
About the role
NVIDIA's deep learning platforms are at the forefront of innovation, profoundly impacting various fields and widely adopted by leading academic institutions, startups, and major Internet companies globally. We're seeking an accomplished and highly skilled Technical Program Manager (TPM) to join our NVIDIA DGX Cloud team. This is a fantastic opportunity for a passionate, creative individual to deliver outstanding value to our DGX Cloud customers. We are specifically looking for a TPM with extensive experience in cloud infrastructure bring-up and relationship management. You'll be instrumental in partnering with companies and engineering teams internally to help build AI capacity and infrastructure across the globe
What you'll be doing:
As a DGX Cloud Technical Program Manager, you'll be a key partner to our Engineering, Infrastructure, Software teams and their leadership, driving critical programs related to AI capacity enablement and management. You'll play a pivotal role in developing and maturing foundational capabilities and processes for DGX Cloud, spanning critical areas such as cluster/capacity bring-up and maintenance. This is a dynamic, fast-paced environment where TPMs are expected to apply fungible skillsets to a range of high-impact programs across DGX Cloud. Your responsibilities will include:
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Gathering technical requirements, developing comprehensive roadmaps, achieving breakthroughs, and ensuring adherence to our Product Lifecycle (PLC) process.
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Leveraging Jira and other program management platforms to instill rigor and structure in the management of engineering deliverables.
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Collaborating cross-functionally internally and externally to understand partner capabilities, build a bridge to NVIDIA reference architectures and drive execution
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Identifying and driving opportunities to onboard the adoption of third-party and in-house solutions for deployments, support, security, compliance and observability across DGX Cloud
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Establishing metrics and key performance indicators (KPIs) and quantitatively demonstrating the value and impact delivered by your programs.
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Proactively identifying, resolving, and mitigating risks and issues that could affect scope, schedule, and quality across all program aspects.
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Developing and executing a robust communication strategy to ensure organizational visibility on overall program progress and engineering delivery, including presenting regularly to NVIDIA's executive leadership team.
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Encouraging a culture of continuous improvement, consistently finding opportunities for process improvements within our cloud infrastructure operations.
What we need to see:
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10+ years of technical program management experience, specifically driving the planning and execution of large-scale engineering programs, with a strong focus on software engineering projects within a matrixed organization.
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Extensive hands-on experience in cloud infrastructure, preferably gained from working at a major Cloud Service Provider (CSP) including AI/ML
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Expert-level proficiency with Jira, Smartsheet, or similar program management tools, with the ability to confidently guide engineering teams on their effective use and execution within an Agile/Scrum framework.
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Exceptional strategic and tactical thinking abilities, coupled with a strong capacity to build consensus and drive program success
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Comfort and effectiveness in thriving within ambiguous environments.
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Possess excellent communication and technical presentation skills, particularly for executive audiences.
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BS or MS in Electrical Engineering or Computer Science, or equivalent experience.
Ways to stand out from the crowd:
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Highly motivated with exceptional communication skills, and a proven ability to work successfully with multi-functional teams and coordinate effectively across organizational boundaries and geographies.
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In depth knowledge of NVIDIA GPU products, including deployment and bring-up
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Solid understanding of various cloud technologies (Kubernetes, API integration, Terraform, etc)
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Significant experience with productivity tools and process automation is a major plus.
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Deep familiarity with cloud-native product / services environments and familiarity with AI, ML infrastructure, and cloud/services
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
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 for Level 5, and 240,000 USD - 379,500 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 12, 2026.
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.
Required skills
Technical program management
Cloud infrastructure
Roadmapping
Stakeholder management
Process management
Jira
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About NVIDIA

NVIDIA
PublicA computing platform company operating at the intersection of graphics, HPC, and AI.
10,001+
Employees
Santa Clara
Headquarters
$4.57T
Valuation
Reviews
10 reviews
4.4
10 reviews
Work-life balance
2.8
Compensation
4.5
Culture
4.2
Career
4.3
Management
3.8
78%
Recommend to a friend
Pros
Cutting-edge technology and innovation
Excellent compensation and benefits
Great team culture and collaboration
Cons
High pressure and expectations
Poor work-life balance and long hours
Fast-paced environment leading to burnout
Salary Ranges
79 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
7 reports
$170,275
total per year
Base
$130,981
Stock
-
Bonus
-
$155,480
$234,166
Interview experience
5 interviews
Difficulty
3.0
/ 5
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Past Experience
Latest updates
Negotiating NVIDIA's Offer
Base, stock, and sign-on negotiable. Recruiters invested in closing candidates. CEO reviews all 42K employee salaries monthly. Stock growth has made many employees millionaires.
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NVIDIA Company Reviews
WLB rated 3.9/5 (lowest category). 64% satisfied with WLB but 53% feel burnt out. Compensation rated 4.4-4.5/5. Experience highly team-dependent.
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NVIDIA Interview Discussions
Technical bar is high with 4-6 rounds. Process takes 4-8 weeks. Expect C++ questions, LeetCode medium, and system design. Difficulty rated 3.16/5.
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NVIDIA Culture Discussions
Team-dependent experience; sink-or-swim culture that rewards high performers but can be overwhelming. No politics, flat structure, but demanding workload with some teams requiring evening/weekend work.
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