Security Research Engineer, AI Safety and Security Engineering
Nvidia
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How this pay compares to similar roles
This role pays more than 51% of similar roles. Most pay $160,937–$235,750 — the blue band above. At the midpoint, this role pays about $197k versus about $198k for comparable roles.
Based on 240 similar postings.
Employer
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 1623 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.
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At a glance
As a Harness and Platform Engineer within the AI Safety and Security Engineering team, you will build the foundational substrate for AI-powered tooling used to find, validate, and patch software vulnerabilities. You will design, implement, and maintain the agent harness while building systems to run and reproduce experiments. Your daily work involves owning environments, ensuring versioned tooling, and creating repeatable runs to minimize friction for researchers. You will collaborate closely with security and evaluation engineers to smooth their workflows and debug issues. Key technical requirements include strong Python engineering, containerized environments, and CI/CD. You should possess experience with agent frameworks, LLM orchestration, ML infrastructure, or evaluation harnesses. Notable domain context includes working with NVIDIA NeMo agent tooling to ensure experimental reproducibility in security research.
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