Senior Software Engineer, Nuro

• 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

Desirable

• 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
• 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