Nuro
Tech / AI / Software
Senior/StaffSoftwareEngineer,MLDataInfrastructure
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior/Staff Software Engineer, ML Data Infrastructure at Nuro. Skills: ML Data Infrastructure, large-scale batch and streaming data pipelines, storage system, data annotation tools, applied ML techniques. 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 evalua”
Industry & Context.
What They're Looking For.
Must Have
BS, MS. c or Ph. D, 4 years of relevant work experience, proficiency in Python or similar languages, ability to understand and design complex systems, Ability and willingness to deep dive into implementation, driving technical standards and best practices across broader software organization
Nice to Have
proficiency in C++ or other high-performance low-level languages, 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
What You'll Do.
Design and develop unified
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
Develop data annotation tools to support first-party and third-party labeling workforce to provide high fidelity perception
and driving trajectory labels
Scale data annotation labels with applied State-of-the-art ML techniques
How You'll Work.
Team & Collaboration
collaborates closely with system engineers to thoroughly validate the autonomous driving system before its deployment.
Process & Methodology
Experience setting team or project product and technical vision, timelines
Full Job Description
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 da
Applying for this Senior/Staff Software Engineer, ML Data Infrastructure role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
ANONYMOUS · UNFILTERED
What do employees actually say about Nuro?
Real rants from real employees. Read before you apply.