SWE, Robot Software Platform, Onboard Software

As a Software Engineer at Wayve, your core responsibilities will include building software for sensor integration, managing real-time systems, ensuring fault tolerance in applications, and designing performance monitoring tools. This role is essential for maintaining the reliability of our software on a large fleet of autonomous vehicles.

To apply for the SWE position at Wayve, you should have proficiency in programming languages such as C++ or Rust, strong knowledge of embedded Linux systems, and an understanding of distributed systems. A Bachelor’s degree in Computer Science or a related field is also essential; advanced degrees are desirable.

Wayve supports a hybrid working model, allowing Software Engineers the flexibility to work from home while also fostering collaboration in our London office. This approach ensures that innovation thrives through teamwork and personal interactions.

The company culture at Wayve is rooted in diversity, collaboration, and innovation. As a Software Engineer, you will be part of a team that values unique perspectives and encourages continuous learning and development, creating an environment where everyone can thrive.

As a Software Engineer at Wayve, you will have a direct impact on the development of autonomous vehicle technology. Your work on sensor integration and software reliability will play a key role in enhancing the safety and usability of automated driving systems, making a significant difference in the industry.

In answering this question, emphasize your practical experience with real-time systems and any projects that required quick responses and timely performance. Share specific examples where you successfully implemented solutions within embedded environments.

Discuss a specific debugging experience where you encountered performance issues. Highlight your approach to problem-solving, the tools you used, and what you learned from the situation that improved your debugging skills.

Talk about strategies such as thorough testing, fault tolerance designs, and real-time monitoring you apply to ensure that the software you develop runs reliably. Provide examples of how these strategies have led to successful outcomes in previous projects.

Mention specific resources you use to keep your knowledge up-to-date, such as online courses, forums, or industry publications. Discuss how continuous learning has benefited your work and kept you ahead in your career.

Express your passion for autonomous driving and the impact it could have on the future of transportation. Share any personal connection or experiences that fueled your interest in this field.

Discuss your communication style, how you handle feedback, and your willingness to support team members. Illustrate this with examples from past team projects where collaborative efforts led to success.

Provide details about the IPC middleware you have worked with and how you effectively used it to achieve high data throughput. Mention any specific projects where this knowledge was crucial.

Explain the importance of performance monitoring in your projects and the specific tools and techniques you've deployed to monitor and optimize system performance. Share any outcomes from your efforts.

Discuss technological challenges, regulatory hurdles, and the need for safety and reliability in software development for autonomous vehicles. Propose ways you would address these challenges based on your expertise.

Provide examples of how you've built fault-tolerant systems and incorporated diagnostics into your software solutions. Focus on the impact these measures have on system reliability and user experience.