Harness and Platform Engineer, AI Safety and Security Engineering

Nvidia

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CANCNYTNFLCA
Salary
$152,000–$241,500 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $198k
This role $197k
$141k $252k
below market most similar roles pay here above market

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

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 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

TL;DR · Harness and Platform Engineer, AI Safety and Security Engineering

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.

What you'll do

  • Design, implement, and maintain the agent harness.
  • Build systems to run and reproduce AI experiments.
  • Manage environments and tooling to ensure repeatable results.
  • Partner with security and evaluation engineers to optimize their workflows.
  • Debug platform issues in coordination with researchers.
  • Maintain versioned tooling and stable containerized environments.
  • Develop internal tools to reduce friction for research teams.

What we're looking for

  • Bachelor's degree or equivalent experience.
  • 5+ years of software engineering experience.
  • Strong Python engineering skills.
  • Comfort with containerized environments and CI/CD.
  • Experience with agent frameworks, LLM orchestration, ML infrastructure, or evaluation harnesses.
  • Experience with NVIDIA NeMo or similar agent frameworks (preferred).
  • Exposure to security tooling or vulnerability research (preferred).
  • Experience building internal tools for other engineers (preferred).

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