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Manager, Agentic Software Development and Test Infrastructure

Salary

$224k - $356k

Min Experience

8 years

Location

Santa Clara, California, United States

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

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 an accomplished engineering manager to lead software engineer teams responsible for building agentic, secure, and scalable development and test infrastructure for both open-source and inner-source software at NVIDIA. The rise of AI agents has opened up the opportunity to reinvent software development at scale for a multi-cloud and heterogeneous environment in collaboration with the open-source ecosystem. You will lead and mentor forward-thinking engineers and will own related activities and interactions with teams inside and outside NVIDIA.

What you will be doing:

  • Grow and develop a world-class, geographically distributed team.

  • Plan, schedule, mentor, and lead the execution of projects and activities of the team.

  • Collaborate with engineering teams, program and product management, and partners to define the product roadmap.

  • Continuously review and identify improvement opportunities in established processes, infrastructure, and practices to ensure the teams are performing in the most efficient and open manner.

  • Own and drive efficiency, reliability, security, performance, and compliance across the infrastructure.

  • Establish strong relationships and trust through excellent execution and high quality of software development, working closely with cross-functional teams.

What we need to see:

  • Bachelor’s degree or equivalent experience.

  • 8+ overall years of industry experience and 3+ years of relevant software engineering management experience leading large complex system software projects.

  • Strong understanding of distributed system architecture, operating systems principles, and how to model standards for reliability, performance, monitoring, security, and compliance.

  • Experience leading multiple software engineering projects.

  • Demonstrated ability to work across organizations at all levels and experience balancing multiple projects with competing priorities.

Ways to stand out from the crowd:

  • Strong track-record of technical management experience.

  • Experience with Agentic AI frameworks and patterns.

  • Background with container technologies such as Docker and Kubernetes.

  • Experience with DevOps tools such as GitHub Actions, GitLab, Buildkite, Ansible, and Terraform.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 15, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

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.

About the company

Designs GPU-accelerated computing and artificial intelligence hardware.

Skills

Docker
Kubernetes
GitHub Actions
GitLab
Buildkite
Ansible
Terraform