2 months ago
Mountain View, CA, USASenior / Staff+
H1B sponsor
Base Salary
$194k - $352k/yr
Responsibilities
- Build closed-loop measurement of agent workflow outcomes, including acceptance, reversion, and override rates.
- Advance autoresearch from assisted to unattended operation for bounded experiments with appropriate evaluation and confidence mechanisms.
- Design isolation and permissioning models for agents operating on production repositories and infrastructure with auditable records.
- Build agent-platform capabilities including orchestration, sandboxing, tool and skill frameworks, memory, identity, permissioning, gateways, and observability.
- Develop agent-powered engineering tools for code generation, review, debugging, test and CI failure attribution, knowledge retrieval, and triage.
- Support post-training internal models where workloads justify it and operate experiments against autonomous-driving model training pipelines.
Requirements
- At least 5 years of software engineering experience, or at least 4 years with a master's degree, in computer science, engineering, or equivalent practical experience.
- Staff-level candidates should bring correspondingly deeper scope and ownership.
- Deep, current understanding of LLM training, including data, tokenization, architecture, pretraining dynamics, supervised fine-tuning, preference optimization, and reinforcement learning.
- Understanding of inference behavior, including attention, KV-cache behavior, batching, scheduling, quantization, speculative decoding, prefix caching, and context handling.
- Production experience building and operating LLM-based agent systems involving tool use, orchestration, sandboxing, retrieval, and memory.
- Strong backend and distributed-systems experience at scale, including cloud infrastructure, service design, storage, and queuing.
- Strong programming skills in Python.
- Hands-on post-training or fine-tuning experience, including SFT, preference optimization, reinforcement learning, distillation, and evaluation.
- Experience with ML training or research infrastructure, experiment orchestration, evaluation pipelines, hyperparameter search, and data pipelines.
- Experience running inference serving, cost, or capacity at meaningful scale.
- Familiarity with planning, reflection, long-horizon memory, and multi-agent coordination patterns.
- Experience with open tool-integration protocols, plugin or skill frameworks, and model-routing or gateway layers.
- Background in developer experience or platform engineering, observability, or security isolation.
- Go, C++, or Rust experience in addition to Python.
Benefits
- Annual performance bonus, equity, and a competitive benefits package.
- Base pay varies by experience, qualifications, education, location, and skills.
Categories
About Nuro
Nuro builds the Nuro Driver, a Level 4 self-driving platform for robotaxis, commercial fleets, and personally owned vehicles. It licenses its autonomy software and integrates it with automotive-grade hardware for automakers and mobility platforms. Founded in 2016 and headquartered in Mountain View, California, Nuro is privately held and has operated real-world self-driving deployments.