At a Glance
- Tasks: Integrate cutting-edge AI systems in vehicles and troubleshoot complex engineering challenges.
- Company: Wayve, a leader in Embodied AI technology for automated driving.
- Benefits: Hybrid working policy, flexible hours, and a culture of innovation.
- Other info: Inclusive culture that values diverse perspectives and encourages personal growth.
- Why this job: Join us to shape the future of autonomous driving and make a real impact.
- Qualifications: 7+ years in system integration, strong troubleshooting skills, and experience with embedded systems.
The predicted salary is between 60000 - 80000 £ per year.
About the Company
Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware‑agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast‑paced environment, big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future.
The role
As a System Integration Engineer, you’ll be at the centre of bringing Wayve’s AI driver to life, leading the integration of hardware and software across internal and partner vehicles. Working closely with Electrical, Mechanical, Systems and Software Engineers, you’ll architect and evaluate new hardware, own system bring‑up, and troubleshoot complex multidisciplinary issues from prototype through deployment. You’ll shape integration processes, influence system architecture, and build the tooling and development infrastructure that enable the team to move quickly while maintaining reliability and engineering excellence.
Key Responsibilities
- Integration and bring‑up of autonomous systems on internal and partner vehicles
- Architect, prototype and evaluate new hardware systems
- Support fleet troubleshooting and issue resolution
- Inform and improve system integration processes and workflow
- Bring‑up and maintain development benches and HIL systems
About You
Essential
- 7+ years experience integrating and developing complex systems
- Ability to understand a harness diagram and modify it to meet new design requirements
- Compute and sensing component selection based on system requirements
- Involved in the definition and execution of a full lifecycle for a physical/embodied product – encompassing electrical, mechanical, and software systems
- Experience in defining and iterating through HW architecture of an embedded/robotics system
- Experience working with supply chain on complex systems, engineering change control
- Working with suppliers and contract manufacturers for design validation and manufacturing
- Multidisciplinary troubleshooting skills with a strong sense of ownership and initiative
- Experience deploying and maintaining an SW product written in C++, Python, Rust
- Comfortable working in Linux environment, Git and with scripting tools
- Excellent communication and collaboration skills across engineering disciplines
Desirable
- Understanding trade‑offs on decisions having downstream implications on both HW and SW
- Understanding detailed compute architectures (x86 vs ARM) and trade‑offs in the context of where the automotive market is heading
- Experience working on autonomous vehicles, robotics, or similar advanced systems
- Skilled in prototyping electronics at PCB board level, wire harnesses, and custom hardware components
- Experience developing application‑level software for testing, flashing, and triaging issues
- Bachelor’s degree in Electrical Engineering, Mechanical Engineering, or equivalent experience
- Experience developing automated testing suites for early HW + SW bring‑up
This is a full‑time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team.
Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self‑driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply.
At Wayve we’re committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.
Electrical Engineer employer: Necessary Ventures
Wayve is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets inclusivity. As a Data Scientist, you'll not only contribute to cutting-edge AI technology but also benefit from a hybrid working policy that promotes work-life balance and fosters professional growth through collaborative projects and diverse perspectives. Join us to be part of a forward-thinking team dedicated to optimising fleet operations while enjoying a culture that values every individual's unique contributions.
