Design and develop mechanical systems for autonomous trucks, ensuring integration with OEM vehicles and collaboration with cross-functional teams.

Develop and apply deep learning and data analysis techniques to create scalable vehicle simulation models, collaborating with teams to advance autonomous technology.

Oversee and manage public company securities compliance, advise on disclosures, coordinate investor communications, and support governance matters.

Develop and integrate autonomous software for on-vehicle platforms, focusing on performance, fault detection, and validation strategies.

Lead external reporting processes for SEC filings, ensure compliance with regulations, design internal controls, and collaborate across teams.

Lead and manage a team in developing safety-critical software for self-driving vehicles, focusing on motion planning and forecasting.

The Senior Software Engineer will enhance mapping infrastructure, develop large-scale map systems, optimize performance, and collaborate with cross-functional teams.

The Senior Accounting Manager oversees accounting operations, ensures compliance with GAAP, and develops internal controls while mentoring the accounting team.

Design and develop Bird’s Eye View fusion models for autonomous driving using multimodal sensor inputs like LiDAR, focusing on performance, robustness, and scalability.

As a Functional Safety Manager, you will define safety goals for autonomous vehicle systems, perform reviews, and work with engineering teams.

The Principal Engineer will design and implement real-time algorithms for sensor fusion and localization, ensuring precision in autonomous vehicle navigation, and will mentor other engineers.

Develop and deploy machine learning algorithms for planning in autonomous trucks, ensuring safety and real-time efficiency.

As a Senior ML Infrastructure Engineer, you will design scalable architectures for ML, build robust data pipelines, manage GPU clusters, and drive improvements in CI/CD workflows while collaborating with cross-functional teams.

Develop and optimize core infrastructure for autonomous driving. Focus on low-latency execution, component health monitoring, and system performance improvements.

The role involves developing ML-based planning algorithms for autonomous trucks, ensuring safety checks, real-time operation, and keeping up with research. Requires strong communication and collaboration.

Develop motion planning software for autonomous trucks, utilizing sensor data to enhance planning algorithms and collaborate with engineers.

Lead the integration of components into vehicles, manage issues, conduct preventive maintenance, and collaborate with engineers. Must troubleshoot and document activities.