Principal Engineer - AI Agents and Systems
Nvidia
At a glance
AI generatedAs a senior engineer on NVIDIA’s autonomous agent team, you will design and build the foundational infrastructure that enables AI agents to operate securely and autonomously. Your day-to-day responsibilities include architecting sandboxed compute environments, developing SDKs and CLI tooling in Python and Go for provisioning and managing agent workloads, embedding security into SDK primitives, and building observability and audit infrastructure. You will also create onboarding templates and reference implementations that ensure secure execution by default. This role requires deep systems engineering skills with experience in containers, microVMs, Kubernetes, and Linux security primitives, as well as a track record of shipping widely adopted developer tools. Ideal candidates have expertise in building execution environments for agentic AI systems and familiarity with sandboxing technologies like gVisor or Firecracker.
Skills
What you'll do
What we're looking for
Market check
This $184,000–$287,500 range sits above 65% of similar postings on FindRole.
Peer median band
$169,000–$249,600
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$162,000–$251,262
Middle half of comparable postings.
Based on 240 comparable postings.
* 240 is the maximum number of comparable postings sampled.
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 802 open roles on FindRole.
Listed pay typically runs $184,000–$287,500 across 798 roles with salary data.
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