Senior Software Engineer – GenAI Infrastructure & Agent Systems for Engineering Efficiency

Nuro • Mountain View, CA

3d • $160,360 - $240,540

About The Position

As a Software Engineer in GenAI Infrastructure & Agent Systems, you will design and build platforms that significantly improve developer productivity and ML research velocity.
This role spans:
Agent infrastructure (harnesses, sandboxes, plugin frameworks, MCP integrations) enabling reliable, production-grade AI agents
Autoresearch systems that run experiments, evaluate results, and propose improvements to core ML models
You’ll work across the stack — from cloud infrastructure and isolation to agent memory, evaluation frameworks, and developer-facing tools.

Requirements

• 4+ years of industry experience; BS/MS in Computer Science or equivalent practical experience
• Strong programming skills in Python, C++, or Go, with experience building scalable, reliable systems
• Solid background in cloud infrastructure (GCP/AWS), Kubernetes, CI/CD, and developer tooling
• Passion for building production-grade AI agent systems and improving engineering efficiency through automation
• Interest in autonomous, self-improving systems and ML-driven workflows
• Strong systems thinking across infrastructure, memory, and tooling, with ability to work end-to-end

Nice To Haves

• Experience with LLM/agent systems in production (tool use, orchestration, sandboxing)
• Familiarity with autonomous agent patterns (memory, reflection, planning)
• Experience with MCP, plugin/skill frameworks, or similar architectures
• Background in ML infrastructure (training pipelines, evaluation, experimentation)
• Experience in DevEx/platform engineering, observability, or security isolation patterns

Responsibilities

• Build AI agent infrastructure
• Design agent orchestration, sandboxing, and isolation systems
• Develop skill/plugin frameworks and integrate internal tools (e.g., CI/CD, code, observability systems)
• Scale compute infrastructure for agent workloads (GCP, Kubernetes)
• Develop autoresearch systems
• Build self-improving agents that run experiments, analyze results, and iterate
• Implement memory, feedback loops, and long-horizon reasoning
• Integrate with ML training, evaluation, and data pipelines
• Create AI-powered engineering tools
• Build assistants for support, triage, and workflow automation
• Develop tools for code generation, debugging, testing, and PR review
• Detect and resolve performance and reliability issues automatically
• Improve quality and developer workflows
• Design evaluation and observability systems for agent performance
• Integrate agents into CI/CD for testing, failure attribution, and remediation
• Build knowledge systems for search, retrieval, and reuse

Benefits

• At Nuro, your base pay is one part of your total compensation package.
• This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees