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

Mountain View, CA, US • Posted 3 hours ago • Updated 3 hours ago
Full Time
On-site
USD $160,360.00 - 240,540.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Computer Hardware
  • System Integration Testing
  • Generative Artificial Intelligence (AI)
  • Productivity
  • Research
  • Apache Velocity
  • Collaboration
  • Reasoning
  • Debugging
  • Public Relations
  • Testing
  • Computer Science
  • Python
  • C++
  • IaaS
  • Google Cloud
  • Google Cloud Platform
  • Amazon Web Services
  • Kubernetes
  • Continuous Integration
  • Continuous Delivery
  • Artificial Intelligence
  • Workflow
  • Orchestration
  • Microsoft Certified Professional
  • Machine Learning (ML)
  • Training
  • Evaluation

Summary

Who We Are

Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver , to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.
About the Team

We empower engineers to build the future of transportation by transforming how software is developed, tested, and operated using Generative AI and agentic systems.

Our team builds the AI infrastructure that enables autonomous coding agents, intelligent assistants, and autoresearch systems across the engineering lifecycle - from code generation and CI/CD to debugging, knowledge discovery, and ML model improvement.

We sit at the intersection of engineering productivity and ML advancement, building platforms and self-improving systems that accelerate both.
About the Role

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.
About the Work

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 (Google Cloud Platform, 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
About You
  • 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 (Google Cloud Platform/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

Preferred:
  • 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

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.

At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91136792
  • Position Id: 6e86fcafee81728d079c44ffd1c8244e
  • Posted 3 hours ago
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