Wayve

Own and evolve the cloud infrastructure, developer tooling, IAM, Kubernetes workflows, and deployment systems powering Wayve’s Portal engineering team. This hands-on platform role offers broad ownership in a hybrid London environment.

Lead the technical development of Wayve’s onboard localisation capability for autonomous vehicles, building production-grade state-estimation systems from GNSS, IMU and wheel odometry. This hands-on staff role combines algorithm development, vehicle deployment, validation and technical mentorship.

Lead the technical development of LiDAR and cross-sensor 3D sensing systems for autonomous driving. This staff-level individual contributor will shape architecture and algorithms for calibration, synchronization, registration, and reliable 3D data production.

Join Wayve’s Core Simulation team to build the software systems that evaluate and improve autonomous-driving intelligence. You’ll develop production-quality C++ and Python components for realistic, reproducible, and scalable open- and closed-loop simulation.

Build automated tests that validate onboard software across embedded platforms before full-vehicle testing. This role improves software quality and enables faster development of autonomous driving systems.

Build end-to-end search, scenario-mining, and agentic evaluation tools that help Wayve’s teams develop and validate autonomous-driving AI. You’ll work across Python, TypeScript, JavaScript, React, SQL, and large-scale data systems while partnering directly with users.

Application Software Engineer responsible for bringing up and validating Wayve’s autonomous-driving AI software on automotive customer hardware in Japan. The role combines embedded platform integration, hardware-specific debugging, and automation across Linux, QNX, and Adaptive AUTOSAR environments.

Build C++ application-layer software that turns AI outputs into robust ADAS and active-safety features for real-world vehicles. You’ll combine vehicle-system reasoning, validation, simulation, and field testing to advance autonomous driving technology.