Manage technical program coordination between R&D, product development, and field testing for autonomous vehicle operations, ensuring effective testing and feedback integration.

As a Tech Lead, you will design and implement learning algorithms for AI decision-making, guiding experimentation and architectural decisions, while contributing hands-on to key components.

Lead initiatives in model-based autonomous driving as a Staff Machine Learning Engineer, focusing on model architecture and real-world deployment. Collaborate with cross-functional teams and mentor senior engineers in developing driving systems.

Manage global communications strategy for AI technology, craft messaging, engage media, handle announcements, and support executive communications while fostering collaborations across teams.

As Legal Counsel at Wayve, you will advise on corporate governance, M&A, employment matters, and commercial contracts, gaining exposure across various legal areas.

Lead the GPU Kernel team, responsible for writing efficient ML kernels for autonomous vehicles, collaborating with engineers to deploy AI products.

The Senior Machine Learning Engineer will design and optimize data pipelines for autonomous driving research, ensuring high-quality datasets are used for model training and evaluation.

The role involves optimizing ML inference for edge accelerators and GPUs, leading projects, collaborating with teams, and improving ML compilers and kernels.

Lead an engineering team delivering a stable software stack for autonomous driving, focusing on Linux distribution maintenance and kernel development.

The role involves developing scalable reinforcement learning algorithms for autonomous vehicles, utilizing Python and foundational libraries. Candidates should have experience in RL and a passion for real-world applications.

Drive the definition, development, and delivery of Level 4 autonomous driving solutions, managing cross-functional teams to create a user-centric product strategy.

Develop and optimize C++ software for efficient AI inference on GPUs, focusing on data transfer and resource management for autonomous driving systems.

Lead the GPU kernel development team at Wayve, focusing on deploying ML models efficiently onto autonomous vehicles, while mentoring engineers.

The role involves building AI-native driving intelligence, overseeing data curation, evaluation, and optimization, to enhance model performance in autonomous driving.

As a Research Scientist Intern, you'll build controllable video diffusion models and efficient world models for autonomous driving simulations, contributing to real-world embodied AI problems.

As a Research Scientist Intern, you'll contribute to large-scale AI models, collaborate with engineers, and develop data visualization tools while publishing research findings.

Lead a team responsible for ML pipeline development and data engineering, ensuring high quality data products for autonomous driving systems.

Lead the System Performance team, focusing on software for autonomous vehicles, enhancing performance metrics, and guiding engineers to improve designs.

The Vehicle Safety Operator will conduct on-road experiments, monitor AI performance, provide feedback, and ensure safety during vehicle testing, contributing to autonomous driving technology.

The Machine Learning Engineer will optimize large scale training jobs on GPU clusters, implement efficiency improvements, and collaborate with research teams for enhanced model training performance.