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New grad software engineer on Nuro's AI/autonomous driving platform, working across data platform, onboard systems, ML infrastructure, simulation, or technical infrastructure using C++, Python, and large-scale distributed systems.
Build high-performance visualization frameworks in C++/OpenGL and Unity for autonomous driving development, validation, triage, and in-car visualization at Nuro's Autonomy Visualization team.
Builds and maintains large-scale data infrastructure for autonomous driving, including batch/streaming pipelines, storage, and dashboards to evaluate and improve ML models.
Software Engineer on Nuro's Offboard Infrastructure team, working across Data Platform, Simulation, or Technical Infrastructure to support their Level 4 autonomous driving platform using Python, C++, or Go.
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 own Nuro's hybrid performance simulation platform — bare-metal NVIDIA Thor bench rigs orchestrated via Kubernetes/GCP, with data pipelines into BigQuery and Grafana — to validate every autonomy code change before it hits the road.
Builds and scales routing algorithms and backend systems for Nuro’s autonomous vehicle platform, optimizing real-time pathfinding, ETAs, and traffic management across global geolocations using microservices, graph data, and cloud infrastructure.
Build and maintain the C++/Python-based data infrastructure that ingests, validates, and visualizes massive 3D sensor streams for autonomous-vehicle ML models.
Builds and maintains the core infrastructure that powers Nuro’s autonomous vehicle systems, including data platforms, simulation tools, and distributed compute/storage services using Python, C++, or Go.
Nuro is seeking a Staff or Senior Software Engineer to build and optimize the onboard infrastructure, performance, or device platforms for their autonomous driving technology. The role involves working with C++ to develop high-performance, reliable systems that integrate hardware and software for self-driving vehicles.
Architect and build scalable ML data pipelines, tooling, and active learning systems that transform petabyte-scale autonomy data into training signals for self-driving AI models, using C++ and Python.
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.
Builds and maintains the ML infrastructure platform for Nuro’s autonomous vehicle AI, focusing on GPU/CPU resource provisioning, workload orchestration, and petabyte-scale data pipelines to accelerate model development from experimentation to production.
Builds and optimizes ML infrastructure for Nuro’s autonomous vehicle fleet, focusing on model compression, deployment, and performance improvements (e.g., quantization, distillation) to enhance real-world autonomy.
Build and scale the ML infrastructure platform that provides compute and data resources for autonomous vehicle development, using IaC, workload orchestrators (Kubernetes, Ray), and distributed data processing frameworks.
Builds and optimizes ML infrastructure for Nuro’s autonomous vehicle fleet, focusing on model pipelines, compilers (e.g., FTL), and deployment of optimized models for safe on-road navigation.
HR Business Partner supporting Nuro’s autonomous vehicle operators and operations teams, handling employee relations, safety culture, and frontline manager enablement in a fast-paced, shift-based environment.
Build and maintain automated Hardware-in-the-Loop (HIL) validation frameworks for autonomous driving ECUs using Python, CAN, and Ethernet.
Senior/Staff Controls Engineer designs and deploys production-level control software for Level 4 autonomous driving vehicles, translating planned trajectories into safe, precise motions across varied conditions.
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