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# Software Engineer, ML Infrastructure Platform

- **Company:** Nuro Inc.
- **Location:** Mountain View, CA, United States
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Python (Programming Language), Delivery Pipeline, Kubernetes, Machine Learning Operations, Data Pipelines
- **Published:** August 12, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/software-engineer-ml-infrastructure-platform-mountain-view-ca-usa-58914273

## About the Role

aaal_ field, with 1+ years of experience * Willingness to deep-dive into implementation and raise engineering standards * Ownership mindset with drive toward operational maturity * Strong Python proficiency (and comfort with C++, Go or similar systems language) * Hands-on experience running production infrastructure on Kubernetes * Solid distributed-systems fundamentals and ability to reason about performance and reliability Key requirements * base pay (160,360-240,540) * annual performance bonus * equity * competitive benefits package

## Description

Experteer Overview In this role you will support the ML infrastructure that powers the Nuro Driver, enabling scalable model training and deployment. You will work with cross-functional teams to keep training and release pipelines reliable and efficient. You'll design and operate data pipelines, multi-cluster scheduling, and agentic-first ML workflows that are reproducible and extensible. This position offers the chance to improve observability, alerting, and incident response for critical autonomy development efforts. Compensation / Benefits * Contribute to training infrastructure across multi-generation accelerators and multi-cluster environments * Design and operate large-scale data pipelines (batch and streaming) and storage layouts * Develop agentic-first ML workflows from data to evaluation that are introspectable and reproducible * Own reliability for training and release pipelines, including instrumentation, alerting, and on-call practices Tasks * BS, MS, or PhD in CS, EE, or related field with 1+ years of experience * Willingness to deep-dive into implementation and raise engineering standards * Ownership mindset with drive toward operational maturity * Strong Python proficiency (and comfort with C++, Go or similar systems language) * Hands-on experience running production infrastructure on Kubernetes * Solid distributed-systems fundamentals and ability to reason about performance and reliability Key requirements * base pay (160,360-240,540) * annual performance bonus * equity * competitive benefits package


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