Lead the architecture of the Wayve Portal platform, ensuring scalability and compliance while collaborating with external teams to deliver robust solutions.

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.

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.

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

The Release Manager ensures reliable software releases by coordinating release cycles, managing issues and changes, and improving processes. They work with cross-functional teams to deliver autonomous driving technology effectively.

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.

As Data Platform Lead, you will shape and scale the data platform for Wayve's SaaS product, ensuring reliable ingestion and standardization of autonomous driving data while integrating with internal engineering pipelines.

As a Technical Lead, guide the on-board software development for autonomous vehicles, focusing on system scalability, collaboration, and user-centered solutions.

The Process Excellence Manager will drive process improvements, operational scaling, and cross-functional collaboration to enhance Fleet Operations. Responsibilities include process mapping, leading Lean Six Sigma initiatives, and implementing performance metrics across global sites.

As Applied Science Manager at Wayve, lead a team in advancing autonomous driving research, focusing on ML and algorithmic advances. Guide technical contributions and foster team growth, balancing hands-on research with strategic leadership.

The ML Compression Engineer will optimize driving models for efficient performance on low-cost edge devices using techniques like distillation and quantisation.

The Staff ML Compression Engineer focuses on optimizing the Driving Model for efficiency in consumer-grade GPUs and low-power devices by implementing advanced ML compression methods. Responsibilities include developing techniques like distillation and quantization, understanding their impact on driving behavior, and collaborating with model developers.

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.

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