Job description

NVIDIA is widely recognized as one of the most sought-after employers, with some of the most dedicated people in the world working for us! We believe open-weight models are foundational to American AI leadership and cybersecurity and that trust in AI grows through participation, transparency, and broad scientific scrutiny—not a single point of control. Our AI Safety & Security Engineering team builds and evaluates AI-powered tooling that helps find, validate, and patch software vulnerabilities. We are looking for a Senior Manager to build and lead this team from its very first engineers. You will hire across harness and platform engineering, security research, and evaluation and help these disciplines work as one group at a sustainable pace. You will own delivery of the Find, Validate, and Patch roadmap, make trade-offs visible rather than silent, and share progress in plain language. We value careful engineering over hype: results earn trust through internal review, not bold claims. When you apply, tell us about a team you built or a system you shipped—specific, checkable detail helps us see the person behind the resume. What You'll Be Doing: • Team building: Hire, coach, and grow the founding engineering team. • Delivery: Lead the Find, Validate, and Patch engineering roadmap. • Partnership: Collaborate with evaluation, security, and platform leadership. • Communication: Share clear, honest engineering status across NVIDIA. What We Need To See: • Bachelor's degree (or equivalent experience) with 12+ years in software engineering, including 5+ years of experience managing engineering teams. • Leadership: Experience guiding teams that build complex systems - distributed infrastructure, ML platforms, or security tooling. • Technical depth: Ability to weigh architecture and evaluation trade-offs in ML or systems software. • Ambiguity: Steadiness in a young program, where much is still yours to define. Ways to Stand Out from the Crowd: • Security background: Exposure to vulnerability research or security programs. • ML systems: Experience with teams building ML infrastructure or agents. • Founding experience: Growing new teams from their earliest stage. With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and versatile people in the world working with us, and our engineering teams are growing fast in some of the most impactful fields of our generation: Confidential Computing and Data. If you're a creative engineer who enjoys autonomy and shares our passion for technology, we want to hear from you. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until July 30, 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

Team building: Hire, coach, and grow the founding engineering team.
Delivery: Lead the Find, Validate, and Patch engineering roadmap.
Partnership: Collaborate with evaluation, security, and platform leadership.
Communication: Share clear, honest engineering status across NVIDIA.
Bachelor's degree (or equivalent experience) with 12+ years in software engineering, including 5+ years of experience managing engineering teams.
Leadership: Experience guiding teams that build complex systems - distributed infrastructure, ML platforms, or security tooling.
Technical depth: Ability to weigh architecture and evaluation trade-offs in ML or systems software.
Ambiguity: Steadiness in a young program, where much is still yours to define.
Security background: Exposure to vulnerability research or security programs.
ML systems: Experience with teams building ML infrastructure or agents.
Founding experience: Growing new teams from their earliest stage.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until July 30, 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

aiml

Platform: eightfold
Effort: medium