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Build and refine ML models that help autonomous vehicles perceive the world, focusing on data curation, evaluation, and diagnosing long-tail failures to improve safety and scalability.
Build and scale backend services and onboard modules for Nuro’s routing engine, optimizing algorithms, ETAs, and traffic management for autonomous vehicles using cloud-native tech and graph data structures.
Develops advanced generative AI models (e.g., diffusion, flow matching) for autonomous vehicle planning, optimizing for safety, efficiency, and real-world deployment. Focuses on end-to-end model lifecycle, including research, productization, and collaboration with engineering teams.
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…
Builds and maintains large-scale data infrastructure for autonomous driving, including batch/streaming pipelines, storage, and dashboards to evaluate and improve ML models.
Build and optimize the onboard software platform for Nuro’s autonomous vehicles, integrating autonomy stacks with hardware and ensuring safe, high-performance operation.
Build and maintain the C++/Python-based data infrastructure that ingests, validates, and visualizes massive 3D sensor streams for autonomous-vehicle ML models.
Principal Software Engineer leads the design and development of Nuro’s onboard infrastructure for autonomous vehicles, focusing on hardware-agnostic device interfaces, runtime systems, and distributed execution to ensure high-performance, reliable autonomy software across platforms.
Build and scale routing services for Nuro’s autonomous vehicles, optimizing algorithms, microservices, and traffic systems to deliver safe, efficient journeys.
Senior Software Engineer at Nuro builds backend services for a self-driving ride-hailing product, including real-time vehicle matching, dispatch, and telemetry systems using Go and GCP.
Senior Software Engineer at Nuro developing machine learning models for autonomous driving, focusing on perception, sensor fusion, and real-time deployment in C++ and Python.
Build and operate the AI agent infrastructure that automates engineering tasks at Nuro, including closed-loop evaluation, agent platform, and autoresearch systems for autonomous driving.
Lead the Behavior & Planning team at Nuro to design, train, and deploy ML models for autonomous driving, turning real-world data into safe, natural driving behavior across robotaxis, logistics fleets, and personal vehicles.
Build and maintain ML infrastructure for Nuro’s autonomous driving models, including distributed GPU training, data pipelines, and Kubernetes-native orchestration to enable safe, scalable self-driving vehicles.
Build and maintain ML infrastructure for autonomous driving, including pipelines, inference platforms, and compilers to deploy models on Nuro’s fleet of self-driving robots.
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