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Nuro

Software Engineer, Applied AI Infrastructure

Mountain View, California (HQ)From $193.9kmidAdded 2 days ago

About this role

Nuro seeks a Software Engineer to build infrastructure for trustworthy autonomous AI agents operating within the company's engineering organization. You'll develop closed-loop evaluation systems, agent runtime platforms, and autoresearch automation that apply the same rigor Nuro uses for self-driving vehicles to internal AI tooling.

What you'll do

  • Build closed-loop measurement and evaluation systems that track agent acceptance, reversion, and override rates across workflows
  • Design and implement agent runtime infrastructure including orchestration, sandboxing, isolation, and permissioning for production systems
  • Develop autoresearch automation that enables agents to form hypotheses, run experiments, and evaluate results against training pipelines
  • Create observability and auditability layers for agent actions on production code and infrastructure
  • Build agent-powered tooling across the engineering lifecycle including code generation, review, and CI/CD automation
  • Contribute to post-training of internal models where workloads justify the investment

What they're looking for

  • Python or similar systems programming language
  • Distributed systems and orchestration
  • Data infrastructure and metrics collection
  • Machine learning operations and experiment management
  • Software security and access control
  • Production systems design and reliability
  • Observability and monitoring systems
  • Agent and LLM frameworks
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Nuro

Nuro builds autonomous vehicle platforms and fleet operations systems, with a focus on reliability, safety, and over-the-air update infrastructure. The company is hiring reliability engineers, software engineers, and operations specialists to improve vehicle hardware resilience, enhance system automation, and ensure fleet operational excellence.

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Likely interview questions

  • Describe your experience building measurement and evaluation systems for complex automated processes—what made them trustworthy?
  • How would you design isolation and permissioning for AI agents acting on production repositories and infrastructure?
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