Top Tech Jobs & Startup Jobs

Design, develop, and deploy production-level vehicle control software (ISO 26262) for L4 autonomy. Translate planned trajectories into safe, precise motions, integrate controls with vehicle platforms, collaborate across hardware and autonomy teams, and explore ML methods to improve dynamics, drivability, and platform bring-up.

Lead and scale Systems Engineering to define system requirements, architecture, safety case, validation strategy, and deployment readiness for Nuro Driver. Own cross-functional system trade-offs, validation evidence, risk management, and organization building to enable commercial expansion across platforms and geographies.

Responsible for implementing metrics to evaluate the driving behavior of the Nuro Driver, ensuring safety and performance through collaboration and technical expertise.

Develop and deploy state-of-the-art ML models for predicting interactive agent behavior and building controllable agents for closed-loop simulation. Conduct research in generative sequence modeling, transformers, diffusion models, and sequential decision-making, and collaborate with planning and autonomy teams to produce deployable solutions for real vehicles.

Lead the architecture and development of high-performance onboard systems for Nuro's autonomous vehicles, mentoring engineers and ensuring technical excellence.

Develop and deploy perception ML models for autonomous vehicles (detection, sensor fusion, tracking, classification, intent). Own end-to-end lifecycle: POC, model iteration, onboard deployment, monitoring, and optimization for latency and scale.

Responsible for designing and developing scalable data pipelines, storage systems, and monitoring tools for ML data infrastructure, ensuring system integrity and performance evaluation.

Develop large-scale data processing systems for autonomous driving, including storage, dashboards, and data pipelines, while ensuring integrity and resilience.

Design and develop robust data processing systems and pipelines, implement data storage solutions, and ensure system integrity through testing and monitoring.

Design and develop data pipelines for autonomous driving systems, create storage for data metrics, build dashboards, and maintain data integrity, focusing on ML components.