Senior ML Infrastructure Engineer — Autonomy Platform

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

Job summary

Nuro in Mountain View, CA is seeking an ML Infrastructure Engineer to design, build, and deploy core ML infrastructure for autonomy models. You will work with teams across Nuro to create robust pipelines, testing, and observability for scalable ML systems on the company’s fleet.

Ideal candidates have 3+ years of relevant experience, strong Python and C++ skills, and a track record of building distributed ML pipelines and platforms.

Qualifications

• BS, MS, or PhD with 3+ years of relevant experience.
• Strong Python (and C++) skills with a focus on performance and scalability.
• Experience with ML pipelines and distributed systems design.
• Ability to learn quickly and work independently.

Responsibilities

• Design and develop ML workflow pipelines to train, validate, and deploy autonomy models.
• Build tests and monitoring for core ML infrastructure components.
• Create observability for ML model lifecycles from data to on-road validation.
• Maintain in-house ML inference platform for large language models.
• Maintain in-house ML compiler to deploy models across hardware.

Skills

Python

C++

Distributed systems

ML pipelines

Independence

Education

BS/MS/PhD

Tools

ML Inference Platform

ML Compiler Platform

Job description

Nuro in Mountain View, CA is seeking an ML Infrastructure Engineer to design, build, and deploy core ML infrastructure for autonomy models. You will work with teams across Nuro to create robust pipelines, testing, and observability for scalable ML systems on the company’s fleet.

Ideal candidates have 3+ years of relevant experience, strong Python and C++ skills, and a track record of building distributed ML pipelines and platforms.