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- Tasks: Develop and scale LiDAR-based perception systems for autonomous robots.
- Company: Join an innovative robotics team at Lawrence Harvey in the UK.
- Benefits: Dynamic work environment with opportunities for growth and learning.
- Other info: Onsite position in Oxfordshire, working three days a week.
- Why this job: Be at the forefront of robotics technology and make a real impact.
- Qualifications: Solid understanding of SLAM algorithms and sensor integration experience.
The predicted salary is between 50000 - 70000 £ per year.
Lawrence Harvey is seeking an Autonomy Engineer (LiDAR/Perception) to join their innovative robotics team in the UK. In this role, you will develop and scale cutting-edge LiDAR-based perception and SLAM systems for autonomous robots. You'll work closely with ROS2, modern C++, and Python, focusing on maintaining autonomy software and supporting complex field operations.
Ideal candidates will have a solid understanding of SLAM algorithms and experience with sensor integration. This is an onsite position in Oxfordshire three days a week, offering a dynamic and fast-paced work environment.
LiDAR Perception Architect for Autonomous Robotics employer: Lawrence Harvey
Contact Detail:
Lawrence Harvey Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land LiDAR Perception Architect for Autonomous Robotics
✨Tip Number 1
Network like a pro! Reach out to people in the robotics field, especially those working with LiDAR and SLAM systems. Attend meetups or webinars to connect with potential colleagues and learn about opportunities that might not be advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to ROS2, C++, and Python. This will give you an edge during interviews and demonstrate your hands-on experience with the technologies they care about.
✨Tip Number 3
Prepare for technical interviews by brushing up on SLAM algorithms and sensor integration. Practice coding challenges and be ready to discuss your thought process. We want to see how you tackle problems in real-time!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our innovative team in Oxfordshire. Don’t miss out on this opportunity!
We think you need these skills to ace LiDAR Perception Architect for Autonomous Robotics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with LiDAR, SLAM algorithms, and sensor integration. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about autonomous robotics and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since we’re looking for someone with expertise in ROS2, modern C++, and Python, make sure to mention any relevant projects or experiences. We love seeing practical applications of your skills!
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 this exciting opportunity in Oxfordshire!
How to prepare for a job interview at Lawrence Harvey
✨Know Your SLAM Algorithms
Make sure you brush up on your understanding of SLAM algorithms. Be ready to discuss how you've applied these in past projects, and think about specific challenges you've faced and how you overcame them.
✨Show Off Your Coding Skills
Since the role involves modern C++ and Python, be prepared to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges related to robotics and perception systems.
✨Familiarise Yourself with ROS2
Get comfortable with ROS2 as it’s a key part of the job. Review its architecture and functionalities, and consider how you can leverage it in developing LiDAR-based perception systems.
✨Prepare for Practical Scenarios
Expect questions that involve real-world applications of your skills. Think about how you would approach complex field operations and be ready to discuss your strategies for sensor integration and maintaining autonomy software.