FULL TIMEPosted: 2026-10-06Before the detail, here's the challenge you'd help us solve. We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. ð About our Product Dependability TeamOur Product Dependability team connects Wayve's embodied AI technology with the demands of real-world automotive products. Working across systems engineering, safety, cybersecurity and data analysis, the team helps translate AI capabilities into dependable vehicle-level behavior and supports integration with our OEM partners. Wayve is developing driver-out Robotaxi systems that bring together the AI Driver, vehicle platform, sensors and compute, safety mechanisms, Remote Assistance, fleet services and cloud operations. As a Systems Engineer, Robotaxi, you'll work closely alongside our lead Robotaxi System Architect, translating their reference architecture into clear, implementable functions, requirements, interfaces and verification-ready outputs for the areas you own.ð§ Your day-to-dayOwn systems engineering for defined parts of the Robotaxi architecture, translating use cases, operational concepts and constraints into requirements, interfaces, assumptions and verification-ready specifications. Support implementation through technical reviews, bring-up planning, issue triage and design-change impact analysis, escalating cross-domain or cross-program tradeoffs beyond your scope to the lead architect and relevant domain owners.Depending on your defined scope, this could include vehicle/ADS interfaces, Remote Assistance and offboard boundaries, or fleet and cloud integration.ð You should apply ifYou have direct, hands-on experience designing, integrating or deploying a Robotaxi or production-intent L4 driver-out system, with systems engineering experience spanning several domains across hardware, embedded software, autonomy, safety, offboard services or operations. You bring practical vehicle or robotic-system integration experience and working knowledge of driver-out safety concepts, including redundancy, degraded operation, Minimum Risk Manoeuvre, fail-operational behavior, functional safety, SOTIF and safety-case evidence. Robotaxi launch readiness and operations, including fleet services, Remote Assistance, teleoperation, depot operations, passenger systems or monitoring. Automotive E/E architecture, middleware and sensor/compute integration—including CAN, Automotive Ethernet, SOME/IP, AUTOSAR, DDS, QNX or Linux; More about Wayve:ð Wayve is building the leading AI platform for autonomous driving. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines. Wayve's mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility. How we work ð»- Locations & Flexible Working: This is a full-time role based in Sunnyvale, CA, with a hybrid working model. Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.What's in it for you (Location dependant):ð Salaries benchmarked against the market annuallyð Meaningful equity, sharing in the ownership and long term success of Wayve Relocation support and visa sponsorship where applicable Hybrid working, core hours and the chance to work hands on in vehicle workshops and labsð Learning and development budgets with support for training, conferences and growthðo Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and moreA quick, honest note before you apply. Much of how we work is still being written, and if you join, you'll help write it. 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. To learn more about what drives us, visit Values at WayveDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.
System Engineer, Fully Remote, Long Term Contract in London employer: wayve
Wayve is an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. With a focus on employee growth, you will have the opportunity to work alongside talented AI engineers in a hybrid environment, contributing to groundbreaking advancements in autonomous driving while enjoying the vibrant atmosphere of London. Join us to make a meaningful impact in the field of AI and data science.