Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Software Engineer, Robot Software

Wayve
London
1 year ago
Applications closed

Related Jobs

View all jobs

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Machine Learning Engineer – Insurance

Senior Mission Systems Engineer (Onboard Computing)

Senior Mission Systems Engineer (Onboard Computing)

Senior Mission Systems Engineer (Onboard Computing)

Senior Mission Systems Engineer (Onboard Computing)

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.

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. Join our world-class team as we tackle today's most complex challenges and 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. Make Wayve the experience that defines your career!

The role

We are looking for skilled software engineers who have the experience in producing and shipping reliable, performant software for distributed, high-end computing devices. As a member of the onboard Software Platform team you will work within an engineering team which is delivering the software for edge devices to reliably provide data, experimentation, validation, and autonomy on a large-scale fleet of vehicles. Through this role, you will have the opportunity to work with Wayve’s next-generation innovative compute and sensor platform and contribute to all phases of the software development lifecycle. Your main responsibilities as a contributor to the robot software stack will include:

Build software to enable full sensor integration and data capture at scale and quality necessary for a fully autonomous vehicle. Deliver and maintain soft-real-time Linux-based applications to a fleet of embedded devices on automobiles. Including data collection and storage as well as machine learning inference on the edge. Create robust, fault tolerant software solutions, with comprehensive system diagnostics so we can quickly and efficiently resolve any issues preventing our deployed fleet from operating at maximum capacity. Design, implement, and use system monitoring tools to improve performance and resolve both ad-hoc and systemic issues.

Technologies the team is using: the onboard software is run on Nvidia Jetson devices;C++ and Rust being the main languages we use in the most of our codebase. We use many of the industry standard libraries that you'd expect i.e. ROS2 ecosystem.

About you

Programming skills in a high performance system languages like C++ and/or Rust Strong understanding on how to optimally use/configure IPC middleware for high data throughput robotic applications Debugging skills, including an ability to delve deep on performance issues, stack traces, core dumps, slow disk writes, high system load, memory bottlenecks, eternal device bottlenecks, and threading issues Knowledge of Linux, build systems and user space device drivers An understanding of how distributed systems operate, either in cloud or robotics systems, and how to make these types of systems more scalable and performant

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.

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.

For more information visit Careers at Wayve. 

DISCLAIMER: 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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.