ML Infrastructure Engineer — Autonomous Driving

Nuro; Mountain View (WY); On-site; USD 160,000 - 241,000; Full time

Benefits offered by this job

Annual bonus

Equity

Benefits package

Job summary

Nuro is seeking an ML Infrastructure engineer to design, build and deploy core ML infrastructure components used by autonomy teams. You will work across the full stack of ML solutions, from data pipelines to deploying models on Nuro's fleet of self-driving robots.

You will develop robust, scalable, and observable systems for training, validating, and deploying models, including in-house inference and compiler platforms. Join a team pushing the autonomous future forward.

Qualifications

• Degree in BS, MS or PhD with 1+ years of relevant experience.
• Strong proficiency in Python; familiarity with C++.

Responsibilities

• Design and develop ML workflow pipelines to train, optimize, validate, and deploy autonomy models.
• Develop and maintain continuous 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 to various hardware platforms.

Skills

Python

C++

ML pipelines

Distributed systems

Data workflows

ML compilers

Education

BS, MS or PhD

Job description

Nuro is seeking an ML Infrastructure engineer to design, build and deploy core ML infrastructure components used by autonomy teams. You will work across the full stack of ML solutions, from data pipelines to deploying models on Nuro's fleet of self-driving robots.

You will develop robust, scalable, and observable systems for training, validating, and deploying models, including in-house inference and compiler platforms. Join a team pushing the autonomous future forward.