Who We Are
Nuro believes self-driving vehicles are the most immediate and profound opportunity for AI to drive positive change in the physical world. Safer streets, more time for what matters, and easier access to the world around us, that’s why we’re building a universal autonomy platform: self-driving for all roads and all rides.
Founded in 2016, Nuro is a physical AI company developing Level 4 autonomous driving technology for a wide range of vehicles, use cases, and markets. Powered by the Nuro Driver™, our universal autonomy platform enables the global mobility ecosystem to deploy autonomy at scale, from robotaxis and logistics fleets to personal vehicles.
With years of real-world deployment experience and a flexible, partner-led business model, Nuro is working toward a future where millions of autonomous vehicles powered by our technology help make everyday life safer, easier, and more connected.
Nuro has raised over $2B in capital from Uber, NVIDIA, Google, Softbank, Fidelity, T. Rowe Price, and other leading investors
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
About You
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
Bonus Points
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
At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on sev
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