Engineering Technician

• Build, test, and maintain vehicles and Hardware-in-the-Loop (HIL) setups with high-performance compute and sensor systems at Wayve. • Diagnose, repair, and rework hardware system failures on compute systems, embedded modules, wiring harnesses, sensors, and other hardware components. • Collaborate with hardware and software engineering teams to execute hardware configuration tests and troubleshoot issues. • Support prototype assembly, modifications, and the initial bring-up and commissioning of vehicles. • Hybrid role based at Wayve's London office.

• Proven tenacity to get things done — you see a problem and don't stop until it's solved. • Understanding of the second and third order effects of decisions. • Actively built wiring harnesses with the ability to read a wiring diagram. • Experience building complex systems in a fast-paced production environment. • Strong organisational skills and ability to manage multiple tasks in a dynamic environment. • Excellent troubleshooting and problem-solving abilities. • Able to work collaboratively with engineering teams and provide technical support when needed.

• Hands-on experience building and maintaining autonomous vehicle hardware systems, including vehicles, compute platforms, sensors (LiDAR, radar, cameras), and wiring harnesses. • Prior experience flashing and commissioning systems. • Experience with change management and version control systems.

• Build, test, and maintain vehicles and HIL setups with high-performance compute and sensor systems. • Diagnose, repair, and rework hardware system failures on compute systems, embedded modules, wiring harnesses, sensors, and other hardware components. • Collaborate with hardware and software engineering teams to execute one-off hardware configuration tests and assist with troubleshooting. • Maintain and manage workshop equipment, tools, and inventory, ensuring an organised and efficient workspace. • Support prototype assembly and modifications, contributing to continuous improvement of engineering designs. • Document workshop procedures, test results, and system configurations for reproducibility and consistency. • Support initial bring-up and commissioning of vehicles and contribute to system integration improvements.

Wayve is one of the most exciting AI companies in the UK right now. They are tackling one of the hardest problems in technology, teaching machines to drive, and they are doing it with an approach that the rest of the industry is now converging towards. Backed by SoftBank, Microsoft, NVIDIA, Uber, Mercedes-Benz, Nissan, and Stellantis, Wayve has raised $2.8 billion in total funding and reached a valuation of $8.6 billion. With over 1,000 employees across London, Silicon Valley, Vancouver, Leonberg, Herzliya, and Tokyo, Wayve is scaling fast while keeping its London HQ at the centre. What stands out on Glassdoor (4.4/5 from 112+ reviews) is how consistently employees praise the culture, the calibre of colleagues, and the quality of the technical work. People describe it as some of the most interesting work of their careers. Wayve also offers an on-site chef, private healthcare, competitive pay with equity, and a genuine learning environment where you work alongside world-class ML researchers and engineers. That said, some reviews flag that the pace can be intense and that working across global time zones can stretch working hours. If you are an engineer, researcher, or operator who wants to work on genuinely frontier technology with real-world impact, and you thrive in fast-paced, mission-driven environments, Wayve is a rare opportunity.

• Work at the cutting edge of autonomous driving hardware at one of the world's leading Embodied AI companies. • Hybrid working policy combining in-office and workshop collaboration with home working flexibility. • Core working hours so you can determine the schedule that works best for you and your team.

Wayve is the leading developer of Embodied AI technology for autonomous driving. Founded in 2017, Wayve's advanced AI software and foundation models enable vehicles to perceive, understand, and navigate complex environments. Its intelligent, mapless, and hardware-agnostic AI products are designed for automakers worldwide, accelerating the transition from assisted to automated driving.