The NVIDIA Operations organization is seeking a technology professional for the Senior Technical Program Manager position. This role supports initiatives in the Supply Chain Business Transformation organization. In your role as a Senior Technical Program Manager within our team, you will drive various technical, process, and application initiatives that require your technical leadership and process knowledge directly supporting the Supply Chain, Planning, Manufacturing, Quality and Service Operations teams. You will clarify and challenge objectives, develop roadmaps, assess the complexity and risks, drive process improvements/reengineering and partner with highly skilled technical resources to deliver quality solutions with agility and speed.
What you’ll be doing:
Organize and drive planning, requirements, scheduling, and standup/retrospective discussions
Lead efforts to improve processes for the businesses
Support the engineering teams in estimating and prioritizing tasks in order to maintain a realistic schedule
Lead multiple projects and initiatives concurrently
Identify project scope, define success criteria, manage initiative risks, and outline resource requirements with business owners
Be responsible for the requirements & development of business use cases. Lean in to draft business requirements.
Set expectations with partners and team members regularly, provide project updates, and communicate key decisions on project scope
Interact and collaborate with multi-functional teams and different org levels
What we need to see:
Bachelor's or Master’s degree in Engineering, Computer Science, Supply Chain/Operations Management or equivalent experience
12+ years of proven experience
Able to work on multiple projects with a team of engineers and other teammates in a dynamic and constantly evolving environment
Excellent written and verbal communication and presentation skills together including effective writing and speaking/presentations with proficiency in adjusting your message to suit different levels of management
Ability to adapt to new challenges and promote delivery of software on time and at the highest quality possible
Knowledge in operational processes in semi-chips, boards, systems, and servers with a view of the data and process landscape
Supply Chain experience is a must, and experience leading IT Applications/infrastructure and Data Analytics projects
Proven track record of delivering solutions when needed, while navigating a fast-paced environment with frequent shift in priorities
Ability to engage with IT & business leaders to unblock projects as needed and the ability to thrive within an agile & scrum methodology
Ways to stand out from the crowd:
Flexibility and adaptability in a fast-paced environment with different frameworks and requirements
Project Management Professional Certification a plus, and experience in Reverse Logistics, Supply Chain Networks, and Quality
Cloud environments, Data, and Data science experience, or other related technical background
Demonstrate attention to finding opportunities for process improvement
Show previous experience with developing systems at cloud scale
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 or Master’s degree in Engineering, Computer Science, Supply Chain or Operations Management, or equivalent experience
- 12+ years of proven experience
- Experience working on multiple projects with engineering and cross-functional teams in a dynamic environment
- Excellent written, verbal communication, presentation, writing, and speaking skills, including adapting messages for different management levels
- Ability to adapt to new challenges and promote timely, high-quality software delivery
- Knowledge of operational processes in semiconductors, boards, systems, and servers, including data and process landscapes
- Supply chain experience
- Experience leading IT applications, infrastructure, and data analytics projects
- Track record of delivering solutions in fast-paced environments with shifting priorities
- Ability to engage IT and business leaders to unblock projects
- Experience with Agile and Scrum methodologies
- Flexibility and adaptability across different frameworks and requirements
- Project Management Professional certification
- Experience in reverse logistics, supply chain networks, and quality
- Cloud environment, data, or data science experience
- Experience developing systems at cloud scale
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.”
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