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# Software Engineer, Data Platform

- **Company:** Nuro Inc.
- **Location:** Mountain View, CA, United States
- **Salary:** $160,360.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Automation of Tests, Big Data, BigQuery, C++ (Programming Language), Information Engineering, Data Infrastructure, Distributed Data Store, Monitoring of Systems, Python (Programming Language), PostgreSQL, Machine Learning, Data Streaming, Software Organization, Data Processing, Data Ingestion, Information Technology, Data Pipelines
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/16_f43213195

## About the Role

* B.Sc or M.Sc. plus 1+ years of relevant work experience
 * Strong proficiency in Python, C++, or similar languages
 * Domain experience: Experience working with large scale data and building scalable & reliable systems/data pipelines; ability to understand and design complex systems
 * Technical excellence: Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
 * A bachelor's degree in Computer Science, Electrical Engineering, or a closely related field

Bonus Points

 * Strong knowledge of GCP, GCS, BigQuery, or PostgreSQL
 * Knowledge of data engineering, and its tooling and best practices
 * Knowledge of batch and streaming data processing, warehousing, and analytics solutions
 * Experience working with large scale distributed data systems
 * Experience with system & framework design
 * Experience with data workflow orchestration platforms

## Description

Nuro takes a machine-learning-first approach to autonomous driving technology. In an ML-first system, the overall system performance depends heavily on the quantity and diversity of its training and evaluation data.

The team plays a crucial role in the advancement of autonomous driving systems by creating a scalable and reliable data infrastructure. This infrastructure is designed to produce training and evaluation data derived from both on-road collected logs and simulation logs. Additionally, the team collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.

About the Work

 * 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.
 * Create and implement a storage system capable of accommodating both the large volume and diverse range of evaluation and performance metrics.
 * Construct intuitive dashboards and reports to present evaluation results, facilitating straightforward comparisons that highlight both improvements and regressions.
 * Design and develop comprehensive end-to-end data pipelines that streamline the flow from data ingestion to final consumption.
 * Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines