Senior ML Infrastructure Engineer

Nuro; Mountain View (CA); On-site; USD 194,000 - 291,000; Full time

Job summary

Nuro is hiring for its ML Infrastructure team to build and operate the training and data pipelines powering our Level 4 autonomous driving platform. You will own multi-cluster scheduling, scalable data ingestion, and end-to-end ML workflows from data to training to evaluation.

We value Python proficiency, strong foundations in distributed systems, and hands-on experience with production Kubernetes. A BS/MS/PhD and 3+ years in related roles are expected.

Qualifications

• BS, MS, or PhD in Computer Science, Electrical Engineering, or a closely related field, plus 3+ years of relevant work experience.
• Willingness to deep-dive into implementation and to raise the technical and operational standards of the broader engineering organization.
• A demonstrated ownership mindset: you drive systems to operational maturity e.g. through monitoring, alerting, runbooks.
• Strong proficiency in Python (and comfort with C++, Go or a similar systems language).
• Hands-on experience running production infrastructure on Kubernetes.
• Solid distributed-systems fundamentals and the ability to reason about performance, failure modes, and reliability across a complex system.

Responsibilities

• Contribute to Nuro's training infrastructure, spanning multi-generation accelerators, and multi-cluster scheduling and orchestration.
• Design and operate large-scale data pipelines - batch and streaming ingestion, storage layout, and high-throughput data generation and storage.
• Design and develop agentic-first ML workflows - data-to-training-to-evaluation pipelines that are introspectable, reproducible, and easy for autonomy teams to run and extend.
• Own reliability for critical training and release pipelines: instrument them, define meaningful alerting, and build the on-call and incident-response practices that let the team catch regressions.

Skills

Python

Distributed systems

Kubernetes

Data pipelines

Ownership mindset

System performance

C++

Go

Education

BS/MS/PhD in Computer Science, Electrical Engineering, or related field

Tools

C++

Go

Job description

Nuro is hiring for its ML Infrastructure team to build and operate the training and data pipelines powering our Level 4 autonomous driving platform. You will own multi-cluster scheduling, scalable data ingestion, and end-to-end ML workflows from data to training to evaluation.

We value Python proficiency, strong foundations in distributed systems, and hands-on experience with production Kubernetes. A BS/MS/PhD and 3+ years in related roles are expected.