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Staff Software Engineer, Behavior ML Data

Nuro· Autonomy
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Mountain View, CA$193.9k - $352.3kFull-timePosted 7mo ago

About the role

Senior/Staff Software Engineer to lead Nuro’s ML Data engine, architecting systems that feed autonomy AI models, transforming massive autonomy data into high-value training signals, and building data products, labeling workflows, and data introspection tools at scale.

Responsibilities

  • Data Pipeline Architecture: Design and build scalable data ingestion and processing pipelines that turn data streams into targeted training datasets. Lead initiatives to improve data quality, detect anomalies, and manage out-of-distribution examples to ensure robust model training and deployment.
  • Cross Functional Leadership: Work across autonomy teams and data infra teams to build effective ML data pipelines and products for ML engineers.
  • ML Tooling & Introspection: Develop infrastructure and visualization tools that allow ML researchers to easily introspect data, identify model failure modes, query for new data samples, and understand data distribution shifts.
  • Labeling Operations Integration: Collaborate closely with the data operations team to define quality standards, automate quality control (QC), and streamline the feedback loop between model performance and annotation guidelines.
  • Active Learning & Data Mining Engines: Lead the engineering effort to operationalize research-grade active learning methods. Build systems that compute embeddings or run inference at scale, manage vector databases, and automatically sample the most informative data points for labeling.

Qualifications

  • 7+ years of experience with a proven track record of technical leadership architecting and delivering complex, multi-system ML data engineering data systems.
  • Education: B.S./M.S. in Computer Science, Artificial Intelligence, Electrical Engineering, Robotics, or equivalent practical experience.
  • Understanding of end-to-end ML data pipelines and their interaction with model training and evaluation.
  • Strong proficiency in C++ and Python, with petabyte-level data management experience.
  • Experience taking data concepts (e.g., "uncertainty sampling") and turning them into stable, 24/7 production services.

Skills

Required:Data pipeline design

Benefits

  • annual performance bonus
  • equity
  • competitive benefits package
Last updated Jul 8, 2026. Interested? Apply on the company site.
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Autonomy for all. All roads, all rides.

Driving the future of autonomy with the most scalable AI driver.

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