At a Glance
- Tasks: Develop LiDAR and vision mapping stacks for autonomous vehicles in a dynamic team.
- Company: Join an ambitious early-stage autonomous vehicle company in London.
- Benefits: Hybrid work, competitive salary up to £95,000, and career growth opportunities.
- Other info: Enjoy genuine ownership and influence on technical direction in a small team.
- Why this job: Shape the future of industrial autonomy and make a real impact from day one.
- Qualifications: Open to all levels; passion for robotics and strong fundamentals are key.
The predicted salary is between 80000 - 95000 £ per year.
Hybrid role, 3 days a week in Paddington, London.
Build the LiDAR and vision mapping stack for real world industrial autonomy.
Open to all levels, from graduate through to lead, with the role shaped around you.
Work across perception, localization and navigation in a small, high-impact team.
Core stack is C++, ROS2 and robotics fundamentals.
Salary up to £95,000 depending on experience.
ABOUT THE CLIENT: We are supporting an early-stage autonomous vehicle company building robotics software and hardware platforms for industrial environments. The business is small, ambitious and moving quickly, building the mapping and autonomy stack that underpins how their vehicles perceive and move through the world. This is an environment where engineers have genuine ownership and real influence on technical direction from day one.
Because the role is open from graduate to lead, it will be shaped around the right person, whether you are early in your career with strong fundamentals and a genuine passion for autonomy, or an experienced engineer ready to own and lead the map stack.
THE ROLE, MAPPING ENGINEER: You will help develop the LiDAR and vision based mapping pipelines.
Mapping Engineer employer: Searchability
As an early-stage autonomous vehicle company based in Paddington, London, we offer a dynamic and innovative work environment where engineers can truly make an impact. Our hybrid work model promotes flexibility, while our commitment to employee growth ensures that whether you're a graduate or a seasoned professional, you'll find opportunities to shape your career and influence the technical direction of our projects. Join us to be part of a small, ambitious team dedicated to pioneering advancements in robotics and autonomy.
StudySmarter Expert Advice🤫
We think this is how you could land Mapping Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to LiDAR, SLAM, or any relevant robotics work. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your C++ and ROS2 knowledge. Be ready to discuss your experience with perception, localisation, and navigation. Practice common technical questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals to join our team. Tailor your application to highlight how your skills align with the role and the company’s mission.
We think you need these skills to ace Mapping Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Mapping Engineer role. Highlight any relevant projects or coursework, especially those involving C++, ROS2, or robotics fundamentals.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about autonomy and how your background makes you a great fit for our team. Be genuine and let your enthusiasm shine through!
Showcase Your Projects:If you've worked on any relevant projects, whether in school or on your own, make sure to mention them. We love seeing practical applications of your skills, especially in LiDAR or SLAM technologies.
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 shows us you’re keen to join our team!
How to prepare for a job interview at Searchability
✨Know Your Tech
Make sure you brush up on your C++, ROS2, and robotics fundamentals. Be ready to discuss how you've used these technologies in past projects or studies. Showing a solid understanding of the core stack will impress the interviewers.
✨Show Your Passion for Autonomy
This role is all about building the future of autonomous vehicles. Share your enthusiasm for the field! Talk about any personal projects, research, or experiences that highlight your genuine interest in autonomy and robotics.
✨Prepare for Problem-Solving Questions
Expect to face some technical challenges during the interview. Practice solving problems related to mapping, perception, and navigation. Think through your approach and be ready to explain your thought process clearly.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's vision, the team dynamics, and how they approach building their mapping stack. This shows you're not just interested in the job, but also in contributing to their mission.
