At a Glance
- Tasks: Design and manage technical architecture for integrating autonomous driving tech with vehicle systems.
- Company: Wayve, a leader in Embodied AI technology for automated driving.
- Benefits: Hybrid working policy, flexible hours, and a commitment to diversity and inclusion.
- Other info: Dynamic team environment with opportunities for growth and innovation.
- Why this job: Join us to shape the future of self-driving cars and make a real impact.
- Qualifications: Experience in system architecture, automotive integration, and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
About Us
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, lean 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.
At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.
Make Wayve the experience that defines your career!
The role
We are looking for an experienced Solution Architect to support the integration of Wayve’s autonomous driving technology with automotive OEM vehicle platforms.
In this role, you will work at the boundary between Wayve’s core AI Driver architecture and OEM / Tier 1 vehicle systems.
You will help define how Wayve software interfaces with vehicle platforms—sensors, vehicle signals, middleware, ECU constraints, timing, diagnostics, safety assumptions, data logging, and validation.
The ideal candidate can translate product and customer needs into clear technical specifications, understand both high-level system architecture and implementation details, and help ensure that Wayve’s solution integrates safely, efficiently, and consistently across customer programs.
You will be expected to work independently within your scope, handle ambiguous technical problems, identify dependencies and risks, and keep stakeholders aligned.
Key Responsibilities
- Define and manage the technical architecture for customer vehicle integration, focusing on the interface between Wayve software and OEM / Tier 1 vehicle systems.
- Collaborate with Product Management to translate product requirements and customer program needs into actionable technical specifications.
- Define and document integration boundaries with OEMs and Tier 1 suppliers, including what is Wayve‑owned, partner‑owned, jointly defined, or out of scope.
- Translate ambiguous customer or partner discussions into explicit ownership boundaries, interface contracts, assumptions, dependencies, and open technical decisions.
- Work closely with Software Architects to assess technical feasibility and ensure customer program integration needs are aligned with Wayve’s core architecture.
- Coordinate with Validation Engineers to define integration test requirements and ensure customer program requirements are verifiable.
- Develop and maintain program‑facing technical documentation, including interface specifications, integration guides, ownership boundary definitions, architecture diagrams, and decision records.
- Support customer program planning by identifying integration complexity, dependencies, technical gaps, technical risks, and required partner deliverables.
- Participate in OEM and Tier 1 technical discussions, representing Wayve’s product architecture, integration approach, and technical assumptions.
- Act as a technical bridge between customer programs and Wayve internal teams, ensuring customer‑specific integration needs are clearly understood without unnecessarily fragmenting the core product architecture.
About You
Essential
- System & SW architecture expertise: Experience defining or contributing to technical architecture for ADAS, autonomous driving, embedded software, or vehicle systems, especially at the software–vehicle interface.
- Product boundary definition: Ability to define clear technical boundaries, ownership models, assumptions, dependencies, and interface contracts between internal software and external vehicle systems.
- Vehicle and embedded software understanding: Good understanding of vehicle electronics, embedded software constraints, ECU integration, real‑time execution, timing, diagnostics, and production vehicle software environments.
- Automotive communication and E/E architecture: Knowledge of automotive communication protocols and architectures, such as CAN, Flex Ray, Automotive Ethernet, SOME/IP, AUTOSAR, or equivalent.
- OEM integration experience: Experience working with, or integrating systems for, automotive OEMs or Tier 1 suppliers.
Ability to support discussions on OEM‑specific requirements, standards, and integration constraints.
- Requirements and specification quality: Ability to translate product requirements and customer discussions into clear technical specifications, interface requirements, and validation‑ready requirements.
- Cross‑functional multidisciplinary experience: Proven ability to work effectively across Product, Software Architecture, Hardware, Calibrations, System Safety, Validation, and customer‑facing teams, including Field Application Engineering.
Experience should span unit‑level, subsystem‑level, and system‑level discussions, with the ability to align technical decisions across engineering domains and translate customer or product needs into practical architectural solutions.
- Technical communication: Strong written and verbal communication skills, including the ability to explain complex architecture topics clearly through documents, diagrams, and technical reviews.
Desirable
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field.
- Experience working as a Tier 1 supplier in the automotive industry.
- Knowledge of generative AI, LLMs, and transformer architectures.
- Familiarity with end‑to‑end approaches in autonomous driving.
- Experience with automotive OEM integration projects.
- Hands‑on experience with embedded Linux, QNX, Adaptive AUTOSAR, DDS, SOME/IP, or custom automotive middleware.
- Experience with sensor integration, including cameras, radar, IMU, GNSS, calibration, timestamping, and synchronization.
We are a full‑time role based in London.
We offer a hybrid working policy, combining time in our offices and workshops with remote work.
We operate core working hours to accommodate flexibility.
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.
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.
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.
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Solutions Architect 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.
StudySmarter Expert Advice🤫
We think this is how you could land Solutions Architect
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Necessary Ventures or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Solutions Architect
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Necessary Ventures.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Necessary Ventures and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Necessary Ventures
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Necessary Ventures uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
