Security Research Engineer, AI Safety and Security Engineering

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CANCNYTNFL
Salary
$224,000–$356,500 / yr
Employment
Full-time
Posted
23 days ago
Freshness
Confirmed live yesterday
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k
This role $290k
$114k most similar roles pay here $383k

This role pays more than 98% of similar roles. Most pay $151,475–$217,500 — the shaded band above. At the midpoint, this role pays about $290k versus about $184k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1371 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1096 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Security Research Engineer, AI Safety and Security Engineering

Role Posting Log in to save

As a Security Research Engineer on the AI Safety and Security Engineering team, you will advance Validate and Patch capabilities to identify and remediate software vulnerabilities. You will develop techniques to confirm that reported bugs are real and reachable while establishing rigorous standards for ensuring patches are safe, correct, and free of regressions. Your daily work involves applying security judgment to well-defined vulnerability classes against internal targets and turning complex analysis into repeatable methods with traceable evidence. The role requires expertise in C, C++, or Python, along with experience in fuzzing, program analysis, or secure development. You will utilize AI-assisted workflows while maintaining a disciplined skepticism of their outputs. This position focuses on the technical challenge of defining what constitutes a confirmed vulnerability and a safe fix within an automated tooling environment.

Skills

Vulnerability Research C C++ Python Fuzzing Program Analysis symbolic-execution LLM Agentic ML Secure Development Advisories

What you'll do

  • Develop techniques to confirm that reported vulnerabilities are real and reachable rather than noise.
  • Advance methods for generating and verifying safe software patches that preserve existing behavior.
  • Define high engineering standards for correctness, regression, and revalidation of security fixes.
  • Perform technical analysis on specific vulnerability classes against internal targets.
  • Translate complex security analyses into repeatable methods to improve software reliability.
  • Document reasoning for independent security reviews with fully traceable evidence.
  • Utilize AI-assisted workflows while maintaining a disciplined skepticism regarding their outputs.
  • Identify and prioritize which new vulnerability classes the team should tackle next.

What we're looking for

  • Bachelor's degree or equivalent experience in security research or software engineering.
  • 12+ years of experience in security research or software engineering.
  • Hands-on experience in vulnerability research, fuzzing, program analysis, or secure development in C, C++, or Python.
  • Ability to ensure fix quality by ensuring patches are correct, safe, and preserve existing behavior.
  • Comfort using AI-assisted tools for analysis and development.
  • Experience with CVEs, advisories, or publications in vulnerability research (preferred).
  • Experience building or extending fuzzers, static analyzers, or symbolic-execution tools (preferred).
  • Familiarity with LLM-based coding or analysis agents (preferred).

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