Software Engineer, Applied AI Infrastructure
Mountain View, CA$193.9k - $352.3k + equity + bonusfull-timePosted 2mo ago
About the role
Role focused on building and maintaining the closed-loop evaluation system, agent platform, and autoresearch infrastructure to make autonomous AI agents trustworthy, scalable, and capable within Nuro’s production systems.
Responsibilities
- Build the closed-loop measurement layer that determines acceptance, revert, or override of agent output per workflow and guide autonomy expansion or restriction.
- Take the autoresearch loop from assisted to unattended for a bounded class of experiments, including eval and confidence machinery to run it without human in the loop.
- Design the isolation and permissioning model enabling agents to act 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).
- Participate in post-training model work where justified by internal workloads.
Qualifications
- 3+ years of software engineering experience (or 2+ with a Master’s) in computer science, engineering, or equivalent practical experience.
- Deep, current taste in LLM research and understanding of model training from scratch (data, tokenization, architecture, pretraining dynamics, supervision fine-tuning, RLHF).
- 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 and distributed systems background at scale (cloud infrastructure, service design, storage, queuing).
- Strong programming skills in Python; additional Go, C++, or Rust preferred.
- Experience with ML training or research infrastructure (experiments, evaluation pipelines, hyperparameter search, data pipelines).
- Experience running inference serving, cost or capacity at meaningful scale.
- Familiarity with agent architecture patterns (planning, reflection, long-horizon memory, multi-agent coordination).
- Experience with open tool-integration protocols, plugin/skill frameworks, and model-routing or gateway layers.
- Background in developer experience or platform engineering, observability, or security isolation.
Skills
Required:Closed-loop evaluationAgent platformPythonDistributed systemsPost-training / fine-tuningML training/inference infrastructureInference servingOpen tool integration / plugins
Nice to have:Developer experience / platform engineering
Benefits
- Competitive base pay with range $193,930 – $352,290 depending on level and experience.
- Annual performance bonus
- Equity
- Competitive benefits package
Last updated Aug 12, 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.
AutonomyAI driverDelivery robotsRobotaxiAutonomous vehicles
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