Feature Owner, ADAS

• Take end-to-end responsibility for specific ADAS functionalities such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross and Front Cross Traffic Alert, Pre-Safe, Door Open Warning, and Perception for HMI. • Ensure features meet OEM customer requirements, align with internal capabilities and roadmaps, and are delivered to spec. • Collaborate closely with OEMs, product teams, and engineering teams to define feature scope, set performance targets, and ensure compliance with industry standards.

• Have expertise in specifying and facilitating ADAS feature delivery from concept to production, such as TFL, High Beam Assist, Blind Spot Monitoring, Rear Cross and Front Cross Traffic Alert, Pre-Safe, Door Open Warning, and Perception for HMI. • Have an automotive background with experience in automotive processes including requirements management, V-model, ASPICE, quality, and validation. • Demonstrate strong ability to understand and represent OEM customer needs, negotiate requirements, and align expectations between customers and internal teams. • Have technical understanding of ADAS features, capable of engaging in discussions about trade-offs and feasibility, and be actively involved in testing, evaluation, and validation processes.

• Have demonstrated success delivering complete ADAS features into large-scale production automotive programmes. • Have a good understanding of automotive quality and safety standards such as ASPICE, SOTIF, and FuSa, as well as the compliance regime around them including GSR-II and DCAS. • Have experience with machine learning, LLMs, and recent generative AI methods and architectures. • Have the ability to effectively bridge technical and business perspectives, ensuring clear communication and alignment across teams and stakeholders. • Take a proactive approach to exploring and developing new ADAS features.

• Take full accountability for specific ADAS features, ensuring on-time delivery and alignment with agreed-upon specifications, monitoring the feature lifecycle from concept to production. • Collaborate with feature group owners and engineering teams to create feature specifications, engaging actively throughout development, providing early feedback, participating in testing, and supporting validation processes. • Deeply understand OEM customer needs and represent their interests internally, harmonising OEM requests across different customers to maximise reusable assets and ensure scalability. • Serve as the central liaison between OEMs, product teams, and engineering teams for assigned features, facilitating streamlined communication and participating in agile processes. • Proactively identify and address potential issues before they escalate. • Maintain and evolve the strategic feature roadmap as technology progresses towards higher autonomy levels, ensuring alignment with customer expectations and Wayve's strategic objectives.

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 in a hybrid model from Wayve's London office with core working hours so you can determine the schedule that works best for you and your team. • Join a well-funded company backed by leading investors, founded in 2017 and pushing the boundaries of embodied AI. • Work in an inclusive environment that values diversity and embraces new perspectives.

Founded in 2017, Wayve is the leading developer of Embodied AI technology. Its 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. Wayve's intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving.