Wayve

Machine Learning Engineer at Wayve, focused on developing and deploying end-to-end driving models for autonomous vehicles. The role involves improving model performance, leading projects on personalized driving, building evaluation pipelines, curating data, and influencing training and deployment strategies. Requires extensive experience shipping deep learning systems to production and expertise in sequential models, control, planning, or perception.

Staff ML Performance Engineer focused on optimizing large-scale ML training and inference workloads for Embodied AI technology in autonomous driving systems. The role involves profiling ML jobs, designing and implementing efficiency improvements (parallelism, model compilation, mixed precision), developing observability tools, and creating benchmarking tools to track performance gains. Collaboration with Research teams is key to integrate efficiency improvements and foster a performance optimization culture.

The role focuses on designing and training large-scale embodied foundation models for autonomous driving, developing world models and planners, innovating in reinforcement learning and reward modeling, and conducting empirical research on scaling laws and generalization. It involves working at the intersection of machine learning, simulation, robotics, and real-world deployment.

Product Manager for L4 autonomous driving solutions, focusing on defining, developing, and delivering AI-powered features for vehicles. This role bridges cutting-edge embodied AI and end-to-end learning with market-ready products, emphasizing customer experience and human interaction with AI in the context of robotaxis.

Senior Software Engineer role focused on developing and evaluating Wayve's Embodied AI technology for autonomous driving. The role involves evolving a core component of the simulation platform, integrating classical simulation techniques with machine learning, and working on robot emulator fidelity, visual fidelity, or efficient scaling. Requires strong C++ and Python skills, systems design, and experience with simulation or modern machine learning graphics techniques.

Robotics Engineering role focused on state estimation and control for autonomous driving software, involving algorithm refinement, platform stability ownership, cross-functional collaboration, and customer support for new vehicle platforms. Requires C++ and Python proficiency, with experience in robotics/automotive contexts, control systems, and state estimation.

Principal Software Engineer role focused on the Robot Software platform for Embodied AI in autonomous vehicles. This role involves technical strategy, system architecture, engineering excellence, cross-functional partnership, and technical mentorship, with a focus on safety-critical systems and real-time performance.

Tech Lead/Manager for Trajectory Generation and Controls team at Wayve, focusing on real-world vehicle motion for autonomous driving. The role involves leading engineers, defining technical roadmaps, and owning the interface between the AI Driver, trajectory generation, and control systems. Requires experience in managing teams, leading technical direction for physical AI systems (especially autonomous vehicles), and production system delivery. Expertise in controls, trajectory generation, and ML integration is essential.

Tech Lead/Manager for Trajectory Generation and Controls team at Wayve, focusing on real-world vehicle motion for autonomous driving. The role involves leading engineers, defining technical roadmaps, and owning the interface between the AI Driver, trajectory generation, and control systems. Requires experience in managing teams, leading technical direction for physical AI systems (especially autonomous vehicles), and production system delivery. Expertise in controls, trajectory generation, and ML integration is essential.

Staff Data Scientist at Wayve, a company developing Embodied AI technology for autonomous driving. The role focuses on supporting AI engineers by developing actionable insights from real and simulated driving data to improve the Wayve AI Driver's functionality, safety, and performance. Responsibilities include formulating performance metrics, designing experiments, and investigating model training and inference bottlenecks.

Wayve is seeking a Senior Data Scientist to support AI engineers in developing actionable insights for the Wayve AI Driver. This role involves analyzing real and simulated driving data to improve the functionality, safety, and performance of autonomous driving systems. The candidate will help define performance metrics, design experiments, and investigate bottlenecks in model training and inference.