Autonomous Agent Engineer

Nvidia

Confirmed live 3 days ago High trust

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Posted
157 days ago
Freshness
Confirmed live 3 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k
This role $236k
$136k most similar roles pay here $304k

This role pays more than 70% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $236k versus about $204k 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 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

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View all roles at Nvidia

At a glance

TL;DR · Autonomous Agent Engineer

As an Autonomous Agent Engineer, you will join the team building infrastructure that enables AI agents to operate autonomously and securely. You will own execution environments, state management systems, and security boundaries while designing and shipping SDKs, CLIs, and developer tooling to simplify complex sandboxing for users. Your daily responsibilities include architecting sandboxed compute environments where agents execute code, managing long-running operations with checkpoint and recovery systems, and embedding security primitives like isolation policies and secrets injection into the platform. You will work with technologies including Docker containers, microVMs, Kubernetes, and Linux security primitives while utilizing Python, Go, or Rust. The role focuses on solving greenfield problems in agentic AI systems by building unified developer experiences across various sandboxing technologies to ensure safe, reliable execution for autonomous agents interacting with external services and tools.

What you'll do

  • Architect sandboxed compute environments where autonomous agents can securely execute code and access external tools.
  • Design and ship Python and Go SDKs and CLI tooling for managing agent workloads in isolated environments.
  • Create onboarding templates and reference implementations to make secure execution the default experience for developers.
  • Build state management systems including checkpointing and recovery for long-running agent operations.
  • Embed security primitives such as isolation policies, secrets injection, and network policies into developer SDKs.
  • Engineer authentication integrations for workload identity and delegated tool access without using static secrets.
  • Develop observability and audit infrastructure including structured logs and security telemetry for enterprise monitoring.

What we're looking for

  • BS or MS in Computer Science, Engineering, or a related field (or equivalent experience).
  • 8+ years of experience building distributed systems, infrastructure, or developer platforms at scale.
  • Deep expertise in systems engineering.
  • Proficiency in Python, Go, Rust, or similar programming languages.
  • Experience with containers, microVMs, Kubernetes, and Linux security primitives.
  • Track record of shipping developer SDKs or CLIs adopted by multiple teams.
  • Experience building agents using various frameworks and harnesses in an enterprise context.
  • Experience with sandboxing technologies such as gVisor, Firecracker, Kata Containers, or V8 isolates.

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