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- Tasks: Lead innovation in SLAM and perception algorithms for robotics and automation.
- Company: Join a rapidly growing company at the forefront of Spatial AI technology.
- Benefits: Enjoy hybrid working options and a vibrant team culture.
- Why this job: Make a real-world impact by transforming research into practical solutions.
- Qualifications: Master's or PhD in computer vision or robotics with 5+ years' experience required.
- Other info: Great referral scheme available for successful candidate recommendations.
The predicted salary is between 48000 - 72000 £ per year.
We are looking for a Research Engineer (senior / lead / expert level) to join a rapidly growing company at the forefront of Spatial AI, delivering advanced perception solutions in robotics, logistics, and automation. This position offers the chance to lead innovation in Visual-inertial odometry (VIO) SLAM, bridging research with real-world deployment. They are offering hybrid working from a commutable distance from London.
As a Research Engineer your responsibilities will include:
- Design & implement cutting-edge SLAM & perception algorithms for real-time localization, mapping, & scene understanding.
- Build robust Spatial AI systems optimized for real-world applications.
- Collaborate with product & engineering teams to transform R&D breakthroughs into practical robotics & automation solutions.
- Contribute to advancing applied Spatial AI within a team of domain experts.
As a Research Engineer your skills will include:
Essential
- Master's or PhD in computer vision, robotics, or a related field.
- 5+ years' experience.
- Deep knowledge of SLAM, computer vision & VIO.
- Strong background in optimization, sensor fusion & numerical linear algebra.
- Experience deploying SLAM in industrial or embedded environments.
- Proficient in modern C++ development.
Preferred
- Familiarity with machine learning for semantic/geometric inference.
- Experience in GPU computing, e.g. Vulkan, CUDA, OpenCL or Metal.
- Exposure to embedded systems development.
Feel free to also refer someone you may know who could be good for the role. If they are successfully placed, we offer a great referral scheme!
Key words – Visual-inertial Odometry / SLAM / Computer Vision / Robotics / CUDA / Vulkan / OpenCL / Metal / Sensor Fusion / Embedded Systems / Semantic Inference / Geometric Inference / C++ / Spatial AI.
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Research Engineer - VIO / SLAM / Computer Vision employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer - VIO / SLAM / Computer Vision
✨Tip Number 1
Make sure to showcase your hands-on experience with SLAM and computer vision in your discussions. Prepare specific examples of projects where you've successfully implemented these technologies, as this will demonstrate your practical knowledge and problem-solving skills.
✨Tip Number 2
Familiarise yourself with the latest advancements in Spatial AI and related fields. Being able to discuss recent research or breakthroughs during your interview can set you apart and show your passion for the subject.
✨Tip Number 3
Network with professionals in the robotics and computer vision communities. Attend relevant meetups or conferences, and connect with people on platforms like LinkedIn. This can lead to valuable insights and potentially even referrals.
✨Tip Number 4
Prepare to discuss how you would approach real-world challenges in deploying SLAM systems. Think about potential obstacles and solutions, as this will demonstrate your critical thinking and ability to bridge research with practical applications.
We think you need these skills to ace Research Engineer - VIO / SLAM / Computer Vision
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in computer vision, SLAM, and VIO. Emphasise any projects or roles where you've designed or implemented algorithms, as well as your proficiency in C++.
Craft a Strong Cover Letter: In your cover letter, express your passion for Spatial AI and how your background aligns with the company's goals. Mention specific projects that demonstrate your expertise in robotics and automation.
Highlight Relevant Skills: Clearly list your technical skills related to the job description, such as optimization, sensor fusion, and experience with GPU computing. Use keywords from the job posting to ensure your application stands out.
Showcase Collaboration Experience: Since the role involves working with product and engineering teams, include examples of past collaborations. Highlight how you contributed to turning research into practical applications in previous roles.
How to prepare for a job interview at European Tech Recruit
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SLAM, VIO, and computer vision in detail. Bring examples of projects you've worked on, particularly those involving real-time localisation and mapping, as this will demonstrate your hands-on knowledge.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Think through how you would approach specific challenges in deploying SLAM algorithms in industrial settings, and be ready to explain your thought process clearly.
✨Highlight Collaboration Experience
Since the role involves working closely with product and engineering teams, share examples of successful collaborations. Discuss how you’ve transformed research into practical applications, showcasing your ability to bridge the gap between theory and practice.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in Spatial AI and related technologies. Being able to discuss current trends or recent breakthroughs in the field will show your passion and commitment to continuous learning.
