Senior/Staff Software Engineer, AI Agent Infrastructure
Mountain View, CA$193.9k - $352.3kfull-timePosted 2mo ago
About the role
Senior/Staff level role focused on building and operating the AI agent infrastructure at Nuro, including closed-loop evaluation, agent platform, and autoresearch infrastructure to enable trustworthy, autonomous agent systems at scale.
Responsibilities
- Build the closed-loop measurement layer that determines per-workflow acceptance, reversion, or override of agent output and guide autonomy expansion or pullback.
- Take the autoresearch loop from assisted to unattended for a bounded class of experiments, including evaluation and confidence machinery to run without a human in the loop.
- Design the isolation and permissioning model for agents acting on production repositories and infrastructure with auditable records.
- Contribute to agent-powered tooling across the engineering lifecycle (code generation, review, debugging, test and CI failure attribution, knowledge retrieval, triage) and potentially post-training internal model workloads.
Qualifications
- 5+ years of software engineering experience (or 4+ with a Master’s)
- Deep, current taste in LLM research (training from scratch, post-training stack, RL, etc.)
- Understanding of inference internals (attention, KV-cache, batching, quantization, decoding, context handling)
- Experience building and operating LLM-based agent systems in production (tool use, orchestration, sandboxing, retrieval, memory)
- Strong backend/distributed systems background (cloud infra, service design, storage, Queuing)
- Strong Python programming skills
- Experience with evaluation and benchmarks; ability to argue about real measurements
- End-to-end ownership and ability to handle un-decomposed problems
- Hands-on post-training or fine-tuning (SFT, preference optimization, RL, distillation) and evaluation
- Experience with ML training/research infrastructure (experiments, evaluation pipelines, hyperparameter search, data pipelines)
- Experience running inference serving, cost, or capacity at scale
- Familiarity with agent architecture patterns (planning, reflection, long-horizon memory, multi-agent coordination)
- Experience with open tool-integration protocols, plugin/skill frameworks, model-routing or gateway layers
- Background in developer experience/platform engineering, observability, or security isolation
- Go, C++, or Rust in addition to Python
Skills
Required:PythonLLM/Agent systems
Benefits
- Competitive compensation with base pay range $193,930 – $352,290 (base)
- annual performance bonus
- equity
- competitive benefits package
Last updated Aug 5, 2026. Interested? Apply on the company site.
About Nuro
Autonomy for all. All roads, all rides.
Driving the future of autonomy with the most scalable AI driver.
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