About The Position

Nuro is seeking a Senior/Staff Software Engineer for their ML Infrastructure team. This role involves building and improving the core infrastructure for autonomy teams, designing, building, and deploying machine learning model lifecycle components. The engineer will work across the full stack of ML solutions, from designing pipelines to deploying optimized models on Nuro's self-driving robots.

Requirements

  • Degree in BS, MS.c or Ph.D.
  • 3+ years of relevant experience
  • Strong proficiency in Python or similar languages.
  • Familiarity with c++.
  • Develop with a high standard for performance, scalability, and code quality.
  • Experience working with ML pipelines; ability to understand and design complex distributed systems.
  • Ability and willingness to dive into unfamiliar territory, learn fast, and improve complex systems.

Nice To Haves

  • Strong proficiency in C++ or other high-performance low-level languages
  • Experience working with large-scale distributed systems
  • Experience with system & framework design
  • Experience with data workflow orchestration platforms
  • Experience with ML compilers

Responsibilities

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

Benefits

  • annual performance bonus
  • equity
  • competitive benefits package
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