Job description

In this role, you will own the enterprise platforms that enable the development, deployment, operation, and scaling of AI agents and GPU-accelerated workloads for NVIDIA employees. Partnering with teams across NVIDIA, you will deliver reliable, secure, and scalable capabilities that empower employees to innovate and work more effectively. You will also collaborate closely with NVIDIA’s enterprise partners to broaden the adoption and impact of NVIDIA technologies, extending their reach across both NVIDIA and the wider industry ecosystem. What you’ll be doing: • Define platform strategy, priorities, targets, and execution plans aligned with NVIDIA’s business goals. • Lead runtime engineering for the AI Factory, offering scalable AI inference and secure environments for agents to run. • Hire and retain top engineering talent across all layers of the agentic experience stack. • Use and integrate NVIDIA's products and services into developer experiences. • Drive architecture and operational excellence across reliability, performance, security, cost, and developer experience. • Build high-performing teams and influence technical strategy with senior leaders across NVIDIA What we need to see: • Bachelor’s degree in computer science or a related field, or equivalent experience. • 12+ overall years building large-scale software or infrastructure, including 8+ years leading engineering teams. • Deep expertise in distributed systems, cloud platforms, databases, and production operations. • Strong product judgment with a record of delivering platforms that achieve meaningful adoption. • Exceptional technical leadership, communication, and cross-functional influence. Ways to stand out from the crowd: • Experience scaling GPU-accelerated inference platforms on Kubernetes. • Success leading enterprise modernization programs. • Expertise in observability and FinOps. NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 292,000 USD - 442,750 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 28, 2026. 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.

Requirements

Must-haves

Define platform strategy, priorities, targets, and execution plans aligned with NVIDIA’s business goals.
Lead runtime engineering for the AI Factory, offering scalable AI inference and secure environments for agents to run.
Hire and retain top engineering talent across all layers of the agentic experience stack.
Use and integrate NVIDIA's products and services into developer experiences.
Drive architecture and operational excellence across reliability, performance, security, cost, and developer experience.
Build high-performing teams and influence technical strategy with senior leaders across NVIDIA
Bachelor’s degree in computer science or a related field, or equivalent experience.
12+ overall years building large-scale software or infrastructure, including 8+ years leading engineering teams.
Deep expertise in distributed systems, cloud platforms, databases, and production operations.
Strong product judgment with a record of delivering platforms that achieve meaningful adoption.
Exceptional technical leadership, communication, and cross-functional influence.
Experience scaling GPU-accelerated inference platforms on Kubernetes.
Success leading enterprise modernization programs.
Expertise in observability and FinOps.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 28, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetes

Platform: eightfold
Effort: medium