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- Tasks: Design and implement advanced software for robotic perception and navigation.
- Company: Exciting robotics business in Waterbeach with a collaborative team.
- Benefits: Competitive salary and flexible working conditions.
- Why this job: Join a cutting-edge team and work on innovative raspberry-picking robots.
- Qualifications: Strong C++ experience and familiarity with Linux development.
- Other info: Great opportunity for career growth in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
A robotics business in Waterbeach is seeking a Perception Software Engineer to design and implement advanced software for robotic perception and navigation. The role involves developing software for raspberry-picking robots, integrating vision systems, and utilizing SLAM techniques.
Candidates should have strong C++ experience and familiarity with Linux development. This opportunity offers a competitive salary and flexible working conditions within a collaborative team environment.
Perception Software Engineer - SLAM/ROS2 with Flexible Work in Waterbeach employer: Redline Group Ltd
Contact Detail:
Redline Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Perception Software Engineer - SLAM/ROS2 with Flexible Work in Waterbeach
✨Tip Number 1
Network like a pro! Reach out to people in the robotics field, especially those working with SLAM and ROS2. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to perception software or robotics. This could be anything from code snippets to videos of your work in action. It’s a great way to stand out!
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ and Linux skills. Practice common coding challenges and be ready to discuss your previous projects in detail. We want you to shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Perception Software Engineer - SLAM/ROS2 with Flexible Work in Waterbeach
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your C++ experience and any projects you've worked on that relate to robotics or perception. We want to see how your skills align with what we're looking for!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect the specific requirements of the Perception Software Engineer role. Mention your familiarity with SLAM techniques and Linux development to catch our eye.
Be Clear and Concise: When writing your cover letter, keep it straightforward. We appreciate clarity, so get to the point about why you’re a great fit for the team and what you can bring to the table.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Redline Group Ltd
✨Know Your SLAM and ROS2
Make sure you brush up on your knowledge of SLAM techniques and ROS2 frameworks. Be ready to discuss how you've applied these in past projects, especially in relation to robotic perception and navigation.
✨Showcase Your C++ Skills
Since strong C++ experience is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that involve algorithms or data structures relevant to robotics.
✨Familiarise Yourself with Linux Development
As the role involves Linux development, ensure you're comfortable navigating and using Linux environments. Be prepared to discuss your experience with Linux tools and how you've used them in previous projects.
✨Emphasise Team Collaboration
This position is within a collaborative team environment, so highlight your teamwork experiences. Share examples of how you've worked effectively with others, especially in developing software for complex systems like raspberry-picking robots.
