The Logistics Manager will optimize autonomous vehicle operations and manage logistics-related tasks, ensuring efficiency and compliance, while collaborating with various teams and supporting recruitment and fleet management.

Lead the Technical Product Management team for Autonomy Applications, focusing on cross-divisional programs, strategic planning, and managing TPMs to enhance software quality and resource efficiency.

Lead engineers in developing cloud-based simulation solutions for autonomous software. Deliver architecture, improve efficiency, and support performance monitoring for software validation.

The Senior Hardware Engineer will develop sensor components, manage requirements, and ensure hardware quality through testing and validation, collaborating across teams and with suppliers.

Lead the System and Safety Engineering team to ensure thorough documentation of requirements, coordinate planning, oversee team progress, and manage employee development.

The Senior Technical Product Manager will oversee Machine Learning operations, align product vision, facilitate cross-functional collaboration, and optimize development processes.

Lead the machine learning team developing multitask algorithms for robotic perception in autonomous vehicles. Oversee project management, team performance, and deliverables while fostering team growth.

Lead a machine learning team in developing multitask models for autonomous vehicles, ensuring quality, performance, and team growth while managing projects and individual development.

The Senior Software Engineer is responsible for software development, testing, mentoring entry-level engineers, and improving development environments using various technologies.

The Technical Product Manager II will lead product development for autonomous vehicle systems, ensuring alignment across engineering teams, managing risks, and optimizing execution. Responsibilities include roadmap ownership, championing agile practices, and fostering collaboration to enhance product quality and efficiency.

Lead the Enablement Success Team to optimize technology vendor operations, improve support processes, and develop strategies aligned with company goals. Actively engage with management and engineers to enhance performance and quality of software solutions.

As a Senior Engineer, you'll conduct safety assessments, implement machine learning safety practices, ensure compliance with standards, and collaborate on safety architecture for autonomous systems.

As a Senior SOTIF Engineer, you will enhance the safety of autonomous trucking systems by leading SOTIF evaluations, risk assessments, and verification strategies.

Develop and maintain diagnostics and telemetry applications, implement service-oriented architectures, and enhance vehicle connectivity using various protocols and programming languages.

As a Staff SOTIF Engineer, you'll enhance the safety of autonomous trucking systems by leading SOTIF assessments and guiding teams to meet acceptance criteria through risk assessment and safety improvements.

The Systems Engineer will define and update requirements for the autonomous driving system, lead design discussions, and develop system design documentation. Collaboration with safety teams and addressing complex product challenges is key.

Design, implement, and maintain diagnostic software for autonomous vehicles, focusing on automotive communication protocols, ECU diagnostics, and compliance with safety standards.

The Machine Learning Deployment Engineer will deploy and optimize ML models for automotive systems, collaborate across teams, and implement performance monitoring tools.

Design and deploy modular AV stack, focusing on neural networks and optimization while collaborating with R&D teams to enhance architectures.

The Senior Machine Learning Engineer will develop and enhance data-driven perception simulation for autonomous trucks using advanced ML and computer vision techniques, while collaborating with various stakeholders.