Software Engineer, ML Data Infrastructure
$160.36k - $240.54kFull-time
Nuro
Who We Are Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world’s most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale—empowering a safer, richer, and more connected future. About The Role 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 pipelines 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 of the ML components and the overall system.
- Develop and maintain continuous testing and monitoring systems to guarantee the integrity and resilience of our data and associated data pipelines.
- Develop data mining tools with applied ML techniques to support data discovery needs from Autonomy including Perception, Behavior, and Mapping
- Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception, mapping, and driving trajectory labels
- Scale data annotation labels with applied State-of-the-art ML techniques
- You have a degree in BS, MS.c or Ph.D, plus 1+ years of relevant work experience
- Strong proficiency in Python 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
- Strong proficiency in C++ or other high-performance low-level languages
- 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
Vacancy posted a month ago
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