Top Tech Jobs & Startup Jobs

Lead the architecture design and R&D in synthetic data and simulation systems for autonomous driving and robotics, ensuring high-quality data generation and closed-loop simulations.

Research, implement, and evaluate deep-learning methods for legged locomotion and whole-body control in humanoid robots. Develop end-to-end robot motion controllers using reinforcement and imitation learning, design and run experiments to address sim-to-real challenges, and integrate state-of-the-art research.

Design, build, and maintain scalable data lake and warehouse infrastructure for large-scale autonomous driving data. Identify and resolve edge cases by analyzing field data, collaborate with ML and annotation teams, monitor metrics, manage data quality, schemas, access controls, and optimize ETL/ELT and processing pipelines to improve system performance and edge-case resolution workflows.

Intern will design and optimize software to deploy large-scale AI models on production vehicles, profile and improve inference across compute, memory, and I/O, reduce latency and power use on embedded automotive platforms, and deliver production-ready, fleet-scalable performance optimizations.

Design and operate petabyte-scale end-to-end data pipelines for autonomous driving: onboard upload, cloud preprocessing, dataset production, and model training input. Build data cleaning, annotation QA, lineage, versioning, metadata management, and high-throughput distributed processing. Optimize I/O, memory, transmission, and containerized deployments; support cross-team collaboration and algorithm iteration.