The Systems Integration Engineer will lead integration and bring-up of autonomous vehicle systems, troubleshoot issues, and improve performance and reliability through collaboration across disciplines.

Lead analysis of Operational Design Domains and develop data strategies for autonomous driving models. Apply traffic data to inform design and performance.

Responsible for centralizing payroll for multiple countries, managing accuracy, and relationships with payroll providers while ensuring compliance and reporting.

The Field Engineer diagnoses and resolves software and hardware issues in vehicles, supporting fleet operations with rapid fault triage and strict adherence to safety protocols.

The Field Engineering Lead directs on-site fault diagnosis and resolution, oversees field engineers, and ensures smooth operations while maintaining vehicle uptime and safety standards.

Lead the GPU Kernel team, developing custom kernels for AI models on embedded GPUs, optimizing ML deployments for autonomous vehicles.

Wayve is seeking individuals interested in joining their team as they expand into Germany. The company specializes in Embodied AI technology, aiming to enhance automated driving systems. They value diversity and encourage candidates passionate about self-driving cars to register their interest for future opportunities in a supportive work culture.

The Technical Recruiter will manage the full recruitment cycle, ensuring a positive candidate experience and collaborating with stakeholders to optimize hiring strategies and attract top technical talent.

The Principal ML Engineer leads development of ML tools for autonomous vehicles, focusing on scenario generation, validation, and cross-functional collaboration to enhance driving model testing.

Lead automotive software development programs, manage project plans, collaborate with cross-functional teams, and engage with customers to meet requirements.

Oversee supply chain programs, ensuring material readiness and compliance while managing risks and coordinating with cross-functional teams.

Lead the GPU Kernel team to develop custom kernels for ML models on embedded GPUs, optimizing AI deployment in autonomous vehicles.

Responsible for enhancing media processing capabilities, ensuring efficient ingestion, processing, and storage of video and sensor data, while optimizing cloud infrastructure for performance and reliability.

The System Verification Software Engineer will develop verification infrastructure for autonomous driving systems, focusing on automated Hardware-in-the-Loop testing and ensuring software quality through CI/CD pipelines and validation strategies. They will collaborate with cross-functional teams and drive improvements in verification processes.

As a Software Engineer at Wayve, you'll develop software for edge devices in autonomous vehicles, ensure reliable software operation, and collaborate with various teams to deliver high-quality AI solutions.

Wayve seeks new talent in Japan for their AI development team, focused on creating innovative autonomous driving solutions.

Lead the development of test infrastructure and practices for AI-driven autonomous vehicle systems, focusing on automation, mentorship, and continuous improvement.

Lead the GPU Kernel team, develop GPU kernels, optimize ML models for deployment in autonomous vehicles, and manage project milestones.

Develop and optimise C++ code for data transfer and resource management, ensuring efficient AI inference on GPUs for autonomous driving.

Lead the strategic direction for GPU kernel development, optimizing ML models for efficient deployment on autonomous vehicles while mentoring a team of engineers.