NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are seeking a Software Engineering Manager to lead our Enterprise Platform team in Santa Clara, CA. This team is at the core of the NVIDIA AI Factory initiative, building and maintaining a Kubernetes-based platform that standardizes and automates how we build, deploy, and manage enterprise and AI applications. You will be instrumental in defining the future of our infrastructure across both cloud and on-premise environments, ensuring consistency, security, and efficiency at scale.

What you'll be doing:

• Lead and manage a team of dedicated software infrastructure engineers, guiding their professional growth and project execution.
• Drive the strategic vision and roadmap for a standardized, Kubernetes-based enterprise platform across cloud and on-premise environments.
• Coordinate the development of a platform that ensures consistency, quality, and security for application and AI workload deployments.
• Define and enforce standards for infrastructure and application deployment, eliminating manual, ad-hoc processes.
• Collaborate with security teams to ensure the platform’s design and implementation are robust and secure, with a focus on authentication, authorization, and data protection.
• Work with cross-functional teams to integrate the platform into CI/CD pipelines, enabling seamless and efficient application delivery.

What we need to see:

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience).
• 8+ overall years of software engineering experience with a focus on distributed systems, cloud infrastructure, or large-scale platform development.
• 3+ years of experience leading and managing a high-performing engineering team.
• Proven expertise with container orchestration technologies like Kubernetes and experience with multi-cloud or hybrid-cloud environments.
• Strong understanding of GitOps principles and experience building Git-based configuration management systems.
• Familiarity with security standard methodologies for cloud-native applications and microservices architecture.

Ways to stand out from the crowd:

• Experience building platforms that support the full lifecycle of AI apps
• Open-source contributions to projects in the Kubernetes, GitOps or equivalent experience, or cloud infrastructure space.
• Deep understanding of security evaluation, threat modeling, and implementation of security controls within a platform.
• Experience in a large-scale, high-growth technology company.

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, results-oriented and enjoy learning while having fun, then what are you waiting for? Apply today!

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.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 29, 2025.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.