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- Tasks: Design and implement advanced software for robotic perception and navigation.
- Company: Leading robotics firm in the innovative Cambridge area.
- Benefits: Competitive salary, flexible working conditions, and profit-sharing opportunities.
- Why this job: Join a cutting-edge team and shape the future of agricultural robotics.
- Qualifications: Strong C++ experience with a focus on vision systems and image processing.
- Other info: Exciting growth potential in a dynamic and collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading robotics firm in the Cambridge area is seeking a Perception Software Engineer - SLAM/C++ to design and implement advanced software for robotic perception and navigation in agricultural environments.
The ideal candidate will have strong C++ experience, preferably with a focus on vision systems and image processing.
The role offers a competitive salary, flexible working conditions, and opportunities for profit sharing as the company expands.
SLAM & Vision Software Engineer (C++/ROS2) - Flexible in Cambridge employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land SLAM & Vision Software Engineer (C++/ROS2) - Flexible in Cambridge
✨Tip Number 1
Network like a pro! Reach out to folks in the robotics and software engineering circles, especially those who work with SLAM and vision systems. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got projects or contributions related to C++ or ROS2, make sure to highlight them in your conversations. We love seeing practical examples of your work!
✨Tip Number 3
Prepare for technical interviews by brushing up on your algorithms and data structures. We want to see how you think through problems, so practice explaining your thought process clearly.
✨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’re always on the lookout for passionate candidates like you!
We think you need these skills to ace SLAM & Vision Software Engineer (C++/ROS2) - Flexible in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your C++ experience and any relevant projects you've worked on, especially those related to vision systems and image processing. We want to see how your skills align with the role!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about robotics and how your background makes you a great fit for the Perception Software Engineer position. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on any SLAM or navigation projects, be sure to mention them in your application. We love seeing real-world applications of your skills, so don't hold back on the details!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures it reaches the right people quickly!
How to prepare for a job interview at Jobster
✨Know Your C++ Inside Out
Make sure you brush up on your C++ skills before the interview. Be prepared to discuss your previous projects and how you've used C++ in real-world applications, especially in relation to vision systems and image processing.
✨Familiarise Yourself with SLAM Concepts
Since the role focuses on SLAM (Simultaneous Localization and Mapping), it’s crucial to understand the underlying principles. Review key algorithms and be ready to explain how they apply to robotic perception and navigation.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Practice coding problems related to robotics and vision systems, and think aloud as you solve them to demonstrate your thought process.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's projects, their approach to agricultural robotics, and how they envision the future of SLAM technology. This shows your genuine interest in the role and the company.
