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
Distributed Systems @ 7
LLM @ 3
Machine Learning @ 7
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 seeking a Distinguished Engineer to serve as the founding technical leader for its AI Safety & Security Engineering team. The team builds AI-powered tooling to discover, validate, and patch software vulnerabilities. In this foundational role, you will own the core harness architecture and baseline engineering standards, guiding the program from early-stage prototypes into a dependable, reviewable production pipeline. Your technical roadmap will shape how NVIDIA designs, tests, and validates its safety-critical AI systems.
You will work closely with engineering managers, security partners, and evaluation teams to build consensus through active listening and transparent reasoning. You will bridge exploratory research and rigorous software engineering, balancing innovation with enterprise reliability. Teaching, mentorship, design reviews, code quality, and safety standards are central responsibilities.
Responsibilities
- Define the canonical harness architecture and component baseline.
- Establish the engineering standards for the team.
- Guide the technical roadmap for finding, validating, and patching vulnerabilities.
- Mentor founding engineers and support their professional growth.
- Review designs across the organization and maintain high standards for code quality and safety.
- Align engineers and researchers around a shared technical direction.
Requirements
- Bachelor's degree or equivalent experience.
- 18 or more years of experience designing and building complex systems.
- Deep experience architecting distributed systems, machine learning pipelines, or large-scale platforms.
- A record of turning research into production-grade engineering.
- Strong ability to align engineers and researchers on a common technical direction.
Preferred Qualifications
- Vulnerability research or security engineering experience.
- Familiarity with agent frameworks or LLM-based tooling.
- Experience building evaluation or benchmarking infrastructure.
Benefits
- Competitive salary.
- Equity.
- Benefits package.
- NVIDIA is committed to fostering an inclusive work environment and is an equal opportunity employer.
The base salary range is USD 320,000 to USD 488,750. Applications will be accepted at least until July 30, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.