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Lead end-to-end data exploration, analytics, and modeling on large-scale vehicle data, architecting optimized algorithms and developing agentic AI applications for software-defined vehicles using Python and ML/DL frameworks.
Builds internal fleet operations tools for autonomous vehicles, combining React/TypeScript frontends with backend APIs for real-time vehicle monitoring, maintenance, and partner integrations.
Research and develop generative AI models (diffusion, flow-matching) for autonomous vehicle planning, integrating foundation models and reinforcement learning to improve decision-making and real-world deployment.
Oversee quality-control workflows for Nuro’s autonomous-vehicle software, turning inconsistent procedures into clear rubrics and taxonomies while aligning offshore teams to the same standards.
Senior Program Manager leads validation workflows for Nuro’s autonomous driving software, ensuring safety and system testing pipelines scale efficiently. Oversees intake, prioritization, and cross-team alignment to deliver high-integrity data for Level 4 autonomy development.
Builds high-performance visualization tools (C++/OpenGL, Unity) for Nuro’s autonomous driving tech, enabling engineers to develop and validate autonomy features while collaborating with ML, product, and design teams.
Develop and implement ML-based prediction and planning algorithms for Nuro's Level 4 autonomous driving platform using Python, C++, and deep learning techniques like reinforcement learning and transformers.
Develops and executes collision avoidance tests for autonomous vehicles, analyzing real-world and simulated scenarios to improve safety, design test strategies, and quantify risk for Nuro’s Level 4 autonomy platform.
Build and deploy C++ map systems for autonomous robots, developing localization and state estimation algorithms that process multi-sensor data (lidar, camera) to power Nuro's self-driving platform.
Senior Software Engineer building real-time onboard autonomy software for self-driving vehicles, including behavior planning, sensor pipelines, and safety systems on embedded compute. Core tech: C++/Rust, ROS/ROS 2, NVIDIA Jetson, lidar/camera/radar integration.
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.
Own and evolve Nuro's hybrid benchmarking platform that validates autonomy code on physical NVIDIA Thor bench-top rigs orchestrated via Kubernetes/GCP, feeding performance metrics into BigQuery and Grafana to gate every release of the self-driving stack.
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.
Build and expand the simulator powering all simulations for Nuro's Level 4 autonomous driving platform, improving realism, coverage, and performance primarily using C++ and Python.
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.
Develop and implement Python-based metrics to evaluate the end-to-end driving behavior of Nuro's Level 4 autonomous vehicle platform, collaborating across Systems, Simulation, Behavior, and Product teams to validate safety for deployment.
Build and scale the data platform powering Nuro's autonomous vehicle evaluation—designing batch/streaming data pipelines, storage systems, and dashboards using Python, C++, and GCP tools.
Builds and maintains a scalable, fault-tolerant labeling platform for autonomous driving data, integrating ML-driven workflows and annotation tools to ensure high-quality sensor data for Nuro’s Level 4 autonomy systems.
Design, implement, and automate verification & validation pipelines and triage workflows for Nuro's Level 4 autonomous driving platform, collaborating across hardware, software, and robot operations teams using Python or C++.
An internship developing AI-driven autonomy software for Nuro’s Level 4 self-driving platform, focusing on data platforms, ML infrastructure, simulation, or technical infrastructure to enable scalable autonomous mobility solutions.
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