The Senior Office Manager oversees daily operations, manages budgets, vendor contracts, and coordinates between departments while ensuring regulatory compliance.

The role involves supporting and developing large Kubernetes clusters, enhancing the stability of Linux and Kubernetes, and creating installations in both cloud and on-premises settings.

As an IT Specialist, you'll provide hands-on support, manage SaaS tools, oversee network performance, and assist with device procurement and lifecycle management.

The Technical Recruiter will handle full-cycle recruitment, sourcing top technical talent while collaborating with hiring managers to improve processes and candidate experiences.

Lead the analytics function for autonomous driving, focusing on evaluation, experimentation, mentoring analysts, and building automated analysis pipelines.

The Embedded Linux Software Engineer develops and maintains Linux-based systems for autonomous vehicle sensors, debugging, and optimizing low-latency software. Responsibilities include building device drivers, collaborating on hardware, and providing technical support.

As a Senior Financial Controller, you'll oversee financial compliance and reporting across multiple entities, ensuring adherence to US GAAP and regulatory standards, while leading audits and maintaining internal controls.

The Software Engineer will develop and implement localization algorithms and cloud mapping subsystems, ensuring high-precision rover positioning.

The Corporate Counsel will provide legal guidance on contracts and compliance issues related to autonomous technology, advising multiple teams on regulatory matters.

As a Senior C++ Engineer, you'll design and implement simulation infrastructure, ensure accuracy and efficiency of runs, and collaborate with teams for integration and performance analysis.

The QA Engineer will design and execute testing plans for autonomous driving software, analyze test scenarios, and document outcomes. Collaboration with cross-functional teams is crucial for improving test processes and safety metrics.

Develop motion planning algorithms for autonomous robots, ensuring safety, smoothness, and reliability in navigation. Collaborate with various teams for improvement and evaluation.

As a Machine Learning Engineer, you will design, train, and deploy ML models for motion planning, develop data pipelines, and integrate models for real-time use in autonomous vehicles.

Design and optimize control systems using modern C++, focusing on trajectory tracking and real-time performance constraints, while collaborating with cross-functional teams.

Design and develop advanced data annotation tools, integrating with external platforms and improving user experience for 2D and 3D labeling workflows.

The Machine Learning Engineer will develop and optimize models, manage datasets, enhance training pipelines, and collaborate across teams to innovate in autonomous vehicle technology.

Design and develop firmware for LiDAR systems and motor control, optimizing DSP algorithms and ensuring reliable embedded solutions while collaborating with cross-functional teams.

Develop and maintain the software framework for autonomous vehicle autopilot systems, focusing on performance, safety, and reliability, while implementing automated testing processes.

Lead the development of a scalable data processing infrastructure for ML and simulation teams, focusing on integration, prototyping, and mentorship.

Design and maintain data pipelines and infrastructure for processing large datasets from autonomous vehicles, optimizing for performance and usability.