The developer ecosystem team has multiple pillars including Developer Advocacy, Community, Developer/Agent Experience, Open Models, CUDA, and Open Source Foundations. The team drives 100+ monthly activations, runs multiple developer-facing programs, and collaborates with dozens of internal and external teams. We are looking for an AI-first Technical Program Manager who is also a builder. We need an excellent communicator and collaborator. You will build efficient and consistent processes, tools, and systems. These will reduce manual coordination and improve visibility of community events, enablement assets, budgets, roadmaps, and trackers.
What you will be doing:
Collaborate with the team leads, who are helping developers succeed with NVIDIA technology, to surface gaps and risks that need attention.
Maintain the team activation calendar, budget, and priorities.
Build AI agents, dashboards, scripts, and workflows that automate reporting.
Integrate into the team's rhythm by influencing meeting agendas, trackers, and periodic evaluations.
Develop scalable, repeatable processes and lead organizational change by clearly communicating process updates and driving adoption of new operating rhythms, tools, and workflows.
What we need to see:
BS or MS in Computer Science, Program Management, or related field (or equivalent experience).
8+ years of experience in operational program management, developer operations, or engineering operations.
Outstanding organization, attention to detail, and ability to manage many parallel workstreams with multiple senior leaders.
Excellent written and verbal communication, with the ability to synthesize sophisticated inputs into clear priorities, decisions, and next steps.
Hands-on experience using AI tools, agents, and automation to reduce manual work and improve quality, speed, and transparency.
Technical proficiency sufficient to build or prototype internal tools, dashboards, scripts, workflow automations, or integrations.
Ways to stand out from the crowd:
A portfolio or examples of automations, tools, dashboards, agents, scripts, or workflows you have personally built to improve team execution.
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.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.
-
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.
-
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.
-
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
Similar Jobs
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.”
