At a Glance
- Tasks: Scale our SLAM system for autonomous vehicles and drive technical direction.
- Company: Join Wayve, a mission-driven robotics company shaping the future of autonomous driving.
- Benefits: Competitive pay, onsite chef, private health insurance, and a vibrant workplace culture.
- Other info: Dynamic environment with hybrid working and a focus on diversity and inclusion.
- Why this job: Make a real impact in robotics while learning from industry leaders.
- Qualifications: Experience in SLAM, strong C++ and Python skills, and a passion for innovation.
The predicted salary is between 60000 - 80000 £ per year.
Where you will have an impact:
- Robustify and scale our SLAM system to 100’s of vehicles and millions of hours of driving data, producing high quality supervision signals for model training.
- Contribute to technical direction for SLAM codebase and drive execution.
- Be an advocate for best practices and state of the art within Robotics.
Challenges you will own:
- Multi-sensor odometry and sensor calibration, across cameras, inertial and radar sensors.
- Full development life cycle of our SLAM systems - from research and prototyping, to the development of a high quality, tested code that runs efficiently at scale.
- Understand the needs and use cases of SLAM internally at Wayve, aligning the SLAM roadmap across programme requirements to maximise impact.
What we are looking for in our candidate:
- Essential:
- Experience as a core developer/researcher in SLAM, Visual Odometry, Localisation or State Estimation codebase.
- Experience deploying SLAM systems in the real world, e.g. AVs, AR/VR, UAV.
- Strong C++ and Python fundamentals.
- Desirable:
- PhD in computer vision, 3D geometry, SLAM, localisation, mapping, or other relevant field.
- Experience deploying SLAM systems at scale in outdoor environments.
- Experience with Ceres or similar nonlinear least squares optimisation framework.
- Experience with sensor modalities other than cameras, e.g. LiDAR, RADAR, inertial.
What we offer you:
- The chance to be part of a truly mission driven organisation and an opportunity to shape the future of autonomous driving.
- Competitive compensation and benefits.
- A dynamic and fast-paced work environment in which you will grow every day - learning on the job, from the brightest minds in our space, and with support for more formal learning opportunities too.
- A culture that is ego-free, respectful and welcoming (of you and your dog) - we even eat lunch together every day.
- Benefits such as an onsite chef, workplace nursery scheme, private health insurance, cycle scheme, therapy, yoga, two onsite bars, large social budgets.
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 also operate core working hours so you can be where you need to be for family and loved ones too. Teams determine the routines that work best for them.
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 gender, gender identity, gender expression, race, sexual orientation, physical or mental disability, ethnicity, age or religious belief.
SLAM Engineer, Robotics employer: Wayve
Wayve is an exceptional employer that offers a unique opportunity to work at the forefront of autonomous driving technology in a dynamic and supportive environment. With a strong focus on employee growth, competitive benefits including an onsite chef and wellness initiatives, and a culture that values collaboration and respect, you will thrive both personally and professionally in our London office. Join us to make a significant impact while enjoying a flexible hybrid working policy that prioritises your well-being and work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land SLAM Engineer, Robotics
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and SLAM community on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SLAM projects, code snippets, or any relevant research. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ and Python fundamentals. Practice coding challenges related to SLAM and sensor calibration to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our mission-driven team.
We think you need these skills to ace SLAM Engineer, Robotics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the SLAM Engineer role. Highlight your experience with SLAM, Visual Odometry, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for robotics and how you can contribute to our mission at Wayve. Be specific about your experiences and how they relate to the challenges we face.
Showcase Your Technical Skills:Don’t forget to mention your strong C++ and Python fundamentals! If you've deployed SLAM systems in real-world scenarios, make sure to include those details. We love seeing practical applications of your skills.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Wayve
✨Know Your SLAM Inside Out
Make sure you brush up on your knowledge of SLAM systems, especially in relation to multi-sensor odometry and sensor calibration. Be ready to discuss your past experiences deploying SLAM in real-world scenarios, like AVs or AR/VR, as this will show your practical understanding of the field.
✨Showcase Your Coding Skills
Since strong C++ and Python fundamentals are essential, prepare to demonstrate your coding skills during the interview. You might be asked to solve a problem on the spot, so practice coding challenges related to SLAM and ensure you can explain your thought process clearly.
✨Align with Their Vision
Understand Wayve's mission and how your skills can contribute to their goals. Be prepared to discuss how you can help scale their SLAM system and align it with programme requirements. This shows that you're not just interested in the role, but also in the company's vision.
✨Be Ready for Technical Questions
Expect technical questions about optimisation frameworks like Ceres and other sensor modalities beyond cameras. Brush up on these topics and think of examples from your experience where you've tackled similar challenges. This will demonstrate your depth of knowledge and readiness for the role.
