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.
At Wayve, 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.
Make Wayve the experience that defines your career!
The role#LI-LA1
In this role, you will have the opportunity to work with Wayve’s next-generation innovative compute and sensor platform, as well as contribute to all phases of the software development lifecycle.
As a member of the Robot Software team, you will collaborate with your team to deliver software for edge devices to provide data and enable autonomy on a large fleet of vehicles. A key responsibility will be to ensure that the software you deliver runs reliably at scale. You will also work closely with our Embodied AI and Science organisations to ensure they have the data and interfaces they need to train models, run experiments and get feedback on driving performance.
Key Responsibilities
- Sensor Integration and Data Capture: Build software to enable full sensor integration and data capture at the scale and quality necessary for a fully autonomous vehicle.
- Real-Time System Management: 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.
- Fault Tolerance and Diagnostics: Create robust, fault-tolerant software solutions with comprehensive system diagnostics to enable us to quickly and efficiently resolve any issues preventing our deployed fleet from operating at maximum capacity.
- Performance Monitoring: Design, implement, and use system monitoring tools to improve performance and resolve both ad hoc and systemic issues.
We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed below. 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.
About you
In order to set you up for success as a Software Engineer at Wayve, we’re looking for the following skills and experience.
Essential
- Software Development Skills: Proficiency in programming languages such as C++ and/or Rust for high-performance embedded Linux systems.
- Distributed Systems Understanding: Knowledge of how distributed systems operate, either in cloud or robotics systems, and how to make these types of systems more scalable and performant.
- Debugging Skills: Ability to delve deep into performance issues, stack traces, core dumps, slow disk writes, high system load, memory bottlenecks, external device bottlenecks, and threading issues.
- Linux Expertise: Familiarity with embedded Linux, build systems, and/or user space applications.
- IPC Middleware Knowledge: Strong understanding of how to optimally use and configure IPC middleware for high data throughput robotics applications on frameworks such as ROS.
Desirable
- Linux Kernel Development: Experience with device driver implementation, kernel module programming, and/or debugging low-level system issues would be beneficial in this role.
- Embedded Environments: Experience with developing software for embedded Linux systems and real-time operating systems such as QNX.
- Educational Background: A Bachelor’s degree in Computer Science, Electrical Engineering, or a related field. Advanced degrees are a plus.
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 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.
For more information visit Careers at Wayve.
To learn more about what drives us, visit Values 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.
Top Skills
What We Do
We're Wayve, a leading developer of embodied intelligence for autonomous vehicles. We use AI to pioneer a next-generation approach to self-driving: AV2.0, which enables fleet operators to unlock the benefits of AV technology at scale.
Founded in 2017, Wayve is made up of a diverse team of experts in machine learning and robotics. We were the first to deploy AVs on public roads with end-to-end deep learning. Today, our teams are based in London and California, and we're testing AVs in cities across the UK.
Inspired by our vision for a smarter, safer, more sustainable world, we're looking for people who are passionate about building breakthrough solutions to some of the world’s most important challenges. If you're looking for an exciting opportunity with a dynamic team, get in touch!
