Embedded Automotive Platforms Software Engineer in London

Embedded Automotive Platforms Software Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Wayve

At a Glance

  • Tasks: Design and develop embedded software for autonomous vehicles, enhancing driving capabilities.
  • 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 environment with opportunities for growth and collaboration across diverse teams.
  • Why this job: Join a team pushing the boundaries of autonomous driving technology and make a real impact.
  • Qualifications: Degree in Computer Science or related field; experience in embedded software development required.

The predicted salary is between 60000 - 80000 £ per year.

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. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact.

As a member of the Embedded Automotive Platforms team, you will contribute towards the creation of a software platform that interfaces with the automotive embedded hardware and Wayve Driving Model. This includes developing abstractions and APIs that enable Wayve’s software and robotics teams to deploy AV software efficiently. Your role involves understanding the capabilities and nuances of various deployment platforms and creating abstractions that minimise the need for Onboard Applications to be customised for each target platform. You will play a crucial role in advancing Wayve’s AV technology. Your contributions will drive the efficiency, maintainability, and scalability of the embedded systems that underpin our autonomous vehicles.

Key responsibilities:

  • Design, develop, and maintain embedded software, SDKs, APIs, and hardware abstraction layers that enable autonomous driving capabilities to run consistently across automotive platforms.
  • Integrate and adapt critical AV functions, including inference, navigation, control, localisation, and vehicle interfaces.
  • Work across Linux and QNX-based systems while minimising platform-specific customisation.
  • Debug, troubleshoot, and improve software and system performance, ensuring reliability, scalability, and operational excellence across production and development fleets.
  • Collaborate with cross-functional teams, hardware vendors, and automotive partners to define requirements and ensure seamless integration with the autonomous driving stack.
  • Participate in architecture reviews, testing, code reviews, documentation, and automotive software quality processes to maintain high engineering standards.

About you

In order to set you up for success as an Embedded Automotive Platforms Software Engineer at Wayve, we’re looking for the following skills and experience.

Essential

  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field.
  • Proven experience in embedded software development, with a strong preference for the automotive, autonomous driving, or robotics industries.
  • Proficiency in C++ programming language for high-performance systems.
  • Hands-on experience with embedded operating systems (e.g., Linux, QNX).
  • Strong understanding of middleware architectures and IPC mechanisms.
  • Proficiency in profiling and tracing tools to diagnose bottlenecks and latency issues.
  • Familiarity with hardware abstraction layers (HAL) and device driver development.
  • Strong debugging skills and attention to detail in complex systems.
  • Excellent communication and teamwork skills.
  • Ability to work in a fast-paced and dynamic environment.

Desirable

  • Prior experience developing and deploying autonomous vehicle, robotics, or other safety-critical software on production systems.
  • Experience with NVIDIA Drive Orin, Qualcomm automotive platforms, or similar embedded computing platforms.
  • Experience with inference, localisation, control algorithms, navigation, odometry or vehicle interfaces will be a huge plus.
  • Knowledge of sensor technologies (e.g., LiDAR, RADAR, cameras).
  • Experience developing platform SDKs, APIs, or software frameworks used by internal teams or external partners.
  • Understanding of safety-critical software development and automotive standards (e.g., ISO 26262, AUTOSAR, MISRA).

This is a full-time role based 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.

Embedded Automotive Platforms Software Engineer in London employer: Wayve

Wayve is an exceptional employer that champions innovation and inclusivity in the rapidly evolving field of autonomous driving technology. With a hybrid working policy that promotes flexibility and collaboration, employees enjoy a supportive work culture that values diverse perspectives and fosters professional growth. Joining Wayve means being part of a team that not only tackles complex challenges but also prioritises personal development and a meaningful impact on the future of mobility.

Wayve

Contact Details:

Wayve Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Embedded Automotive Platforms Software Engineer in London

Join Local Tech Meetups

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Contribute to Open Source Projects

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We think you need these skills to ace Embedded Automotive Platforms Software Engineer in London

Embedded Software Development
C++ Programming
Linux Operating Systems
QNX Operating Systems
Middleware Architectures
IPC Mechanisms
Profiling and Tracing Tools

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 Wayve.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Wayve 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 Wayve

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 Wayve 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.