NVIDIA is seeking a Technical Program Manager on the Solutions Architecture team. Academic and commercial groups worldwide use NVIDIA products to redefine deep learning, data analytics, and power data centers. Join the team building many of the world's largest and fastest data centers and supercomputers! NVIDIA wants someone to lead planning and readiness of all new products for deployments CSP AI data centers. This includes power and cooling systems, cabling, network provisioning, and bring-up and validation.
As the Technical Program Manager, you will implement the lessons learned from previous product launches and ensure we are best prepared to support our internal and external customers while ensuring the integrity of NVIDIA platform infrastructure. You will guarantee that all documentation and training is completed and ensure that dependencies for readiness are identified and documented. This will meet NVIDIA product architecture, operational needs, and industry standards. The readiness infrastructure includes technical lessons learned as well and non-technical processes. Engaging effectively with customers is also a key responsibility to support a successful product launch at mass production.
What you will be doing:
Ensuring that from engineering sample to mass production, that NVIDIA is ready to support with tooling, processes and lessons learned which are implemented and available for internal and external roll out.
Program management of the status for hardware, software, tooling, and process are defined.
Lead customer engagement and communication, coordinating planning, and activity preparation.
Quality Assurance: Establish and implement quality assurance processes to verify that deliverables meet established specifications and quality requirements.
Continuous Improvement: Drive initiatives to improve efficiency through automation, tooling, and other means to increase speed and accuracy of readiness planning.
Partnership and Communication: Collaborate and communicate across internal teams and customers to facilitate the seamless integration of our readiness capabilities.
What we need to see:
Bachelor's degree in Electrical Engineering, Computer Science, Information Technology, or a related field (or equivalent experience).
12+ years of overall experience in enterprise and/or hyperscale data centers, preferably for high density AI/HPC data centers.
Proven experience in hardware deployments, or infrastructure planning roles, focusing on large-scale data center deployments.
Proven technical and project leadership under fluid situations, ability to adapt to unknowns and change.
Excellent analytical, problem-solving, and decision-making skills, keen attention to detail, and a dedication to quality.
Effective communication and interpersonal skills, with the ability to engage effectively and expertly with diverse collaborators including customers and facilitate productive discussions.
Organization & Time Management – able to plan, schedule, and coordinate tasks related to the job to achieve goals within or ahead of established time frames.
Willingness to travel (up to 25%).
Way to stand out from the crowd:
Experience in large program management projects
Solid understanding of processes and tooling used in product rollouts
Outstanding communication skills.
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 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.Skills Required
- Bachelor's degree in Electrical Engineering, Computer Science, Information Technology, or a related field
- 12+ years of overall experience in enterprise and/or hyperscale data centers
- Proven experience in hardware deployments, focusing on large-scale data center deployments
- Proven technical and project leadership under fluid situations
- Excellent analytical, problem-solving, and decision-making skills
- Effective communication skills for diverse collaborators
- Organization & Time Management skills
- Willingness to travel (up to 25%)
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.”
