At a Glance
- Tasks: Enhance AI tech for autonomous driving and optimise software performance.
- Company: Wayve, a forward-thinking company based in London.
- Benefits: Hybrid work model, competitive salary, and opportunities for innovation.
- Other info: Dynamic team environment with a focus on collaboration and growth.
- Why this job: Join the future of self-driving cars and make a real impact.
- Qualifications: Proficiency in C++ and experience with high-performance embedded Linux systems.
The predicted salary is between 60000 - 80000 € per year.
Wayve, based in London, is looking for a Software Engineer to enhance AI technology for autonomous driving. The role involves optimizing software performance and requires proficiency in high-performance embedded Linux systems software in C++. You'll collaborate with teams to address performance issues and improve overall system efficiency.
This full-time position supports a hybrid work model, balancing office time and remote work, ensuring both innovation and flexibility. If you're passionate about self-driving cars and eager to make a difference, consider applying.
Robot Software & Runtime Platform Engineer employer: Wayve
Wayve is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the exciting field of autonomous driving technology. With a hybrid work model, employees enjoy the flexibility of remote work while being part of a dynamic team in London, where they can grow their skills and contribute to groundbreaking advancements in AI. The company prioritises employee development and offers unique opportunities to work on cutting-edge projects that make a real impact in the automotive industry.
StudySmarter Expert Advice🤫
We think this is how you could land Robot Software & Runtime Platform Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the autonomous driving space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve worked on projects related to high-performance embedded systems or C++, create a portfolio or GitHub repo. It’s a great way to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and system design questions, especially those related to performance optimisation in software.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Plus, it makes tracking your application a breeze!
We think you need these skills to ace Robot Software & Runtime Platform Engineer
Some tips for your application 🫡
Show Your Passion:When you're writing your application, let your enthusiasm for self-driving cars shine through! We want to see that you’re genuinely excited about the role and how you can contribute to enhancing AI technology.
Highlight Relevant Skills:Make sure to showcase your proficiency in high-performance embedded Linux systems software in C++. We’re looking for specific examples of how you've tackled performance issues in the past, so don’t hold back!
Tailor Your Application:Don’t just send a generic application. Take the time to tailor your CV and cover letter to reflect the job description. We appreciate when candidates align their experiences with what we’re looking for in a Robot Software & Runtime Platform Engineer.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Wayve
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills, especially in the context of high-performance embedded systems. Be ready to discuss specific projects where you've optimised software performance, as this will show your practical experience and understanding of the language.
✨Understand Autonomous Driving Tech
Familiarise yourself with the latest trends and technologies in autonomous driving. Being able to discuss how AI impacts self-driving cars will demonstrate your passion for the field and your commitment to contributing to Wayve's mission.
✨Prepare for Technical Challenges
Expect technical questions or coding challenges during the interview. Practise solving problems related to performance optimisation and system efficiency, as these are key aspects of the role. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Show Your Team Spirit
Collaboration is crucial in this role, so be prepared to talk about your experiences working in teams. Share examples of how you've successfully tackled performance issues with colleagues, highlighting your communication skills and ability to work well in a hybrid environment.
