Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
Leadership @ 4
Machine Learning
Security @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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.
Responsibilities
- 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.
Requirements
- 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.
Benefits
With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. You will also be eligible for equity and benefits.
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.
Applications for this job will be accepted at least until July 30, 2026.