Senior ML Infrastructure Engineer – Autonomy Platform

Socket.dev; Mountain View (CA); On-site; USD 194,000 - 352,000; Full time

Job summary

Nuro is hiring a Senior ML Infrastructure Engineer in Mountain View to design, build and deploy core ML infrastructure for autonomy teams. You will work across the full ML lifecycle—from data pipelines to model deployment on our fleet, with emphasis on performance, scalability, and reliability.

You should have 3+ years of relevant experience, strong Python and C++, and a track record with ML pipelines and distributed systems.

Qualifications

• BS/MS/PhD in a relevant field with 3+ years of experience.
• Strong proficiency in Python or similar languages; familiarity with C++.
• Technical excellence: high performance, scalability, and code quality; experience with ML pipelines and distributed systems.

Responsibilities

• Design and build ML workflow pipelines to train, optimize, validate, and deploy Nuro autonomy models.
• Develop and maintain testing and monitoring systems for core ML infrastructure components.
• Develop observability to track ML model lifecycles from data generation to on-road validation.
• Maintain an in-house ML inference platform to serve large language models efficiently.
• Maintain an in-house ML compiler platform to compile, deploy, and validate autonomy models across hardware.

Skills

Python

C++

ML pipelines

Distributed systems

Model deployment

Education

BS/MS/PhD in relevant field

Job description

Nuro is hiring a Senior ML Infrastructure Engineer in Mountain View to design, build and deploy core ML infrastructure for autonomy teams. You will work across the full ML lifecycle—from data pipelines to model deployment on our fleet, with emphasis on performance, scalability, and reliability.

You should have 3+ years of relevant experience, strong Python and C++, and a track record with ML pipelines and distributed systems.