Senior/staff Software Engineer, Data Platform

Nuro Nuro · Robotics · CA · Offboard Infrastructure

Nuro is seeking a Senior/Staff Software Engineer to build and maintain a scalable data infrastructure for autonomous driving systems. This role focuses on creating systems to process, store, and present training and evaluation data derived from on-road and simulation logs, collaborating with system engineers to validate the autonomous driving system. The position requires strong software engineering skills, experience with large-scale data processing, and leadership capabilities.

What you'd actually do

  1. Design and develop unified, introspectable, large-scale batch and streaming data processing systems that can ingest and process data across a wide range of use cases relevant to evaluation.
  2. Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
  3. Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions.
  4. Design and develop comprehensive end-to-end data pipelines that streamline the flow from data ingestion to final consumption.
  5. Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines

Skills

Required

  • Python
  • C++
  • large scale data processing
  • scalable and reliable systems
  • data pipelines
  • complex systems design
  • Engineering leadership
  • technical vision
  • prioritization
  • Tech Lead
  • mentoring
  • deep dive into implementation
  • technical standards
  • best practices

Nice to have

  • GCP
  • GCS
  • BigQuery
  • PostgreSQL
  • data engineering
  • batch and streaming data processing
  • warehousing
  • analytics solutions
  • large scale distributed data systems
  • system & framework design
  • data workflow orchestration platforms

What the JD emphasized

  • large scale data
  • scalable & reliable systems / data pipelines
  • complex systems
  • Engineering leadership
  • Technical excellence

Other signals

  • ML-first approach to autonomous driving
  • quantity and diversity of training and evaluation data
  • scalable and reliable data infrastructure
  • on-road collected logs and simulation logs
  • validate the autonomous driving system