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- Tasks: Lead the design of cutting-edge SLAM algorithms for robotics and automation.
- Company: Join a dynamic robotics software company based in London, pushing the boundaries of Spatial AI.
- Benefits: Enjoy a hybrid work model with flexible remote options and a vibrant office environment.
- Why this job: Be part of a team innovating real-world applications in robotics, making a tangible impact.
- Qualifications: PhD in computer vision or robotics, with strong skills in C++ and SLAM solutions.
- Other info: This role requires an EU work permit; apply now to shape the future of technology!
The predicted salary is between 43200 - 72000 £ per year.
European Tech Recruit are working closely with an exciting robotics software company, based in London, who are looking for a talented Lead Research Engineer (SLAM / State Estimation) to join their team. This role can offer a hybrid work arrangement with 2/3 days WFH per week and the rest onsite at their office which is close to London Bridge. In this role you will join a team focused on delivering advanced Spatial AI solutions to clients in robotics, intralogistics, & warehouse automation.
Responsibilities:
- Design & develop state-of-the-art SLAM & perception algorithms for high-performance localisation, mapping, & scene understanding.
- Create high-quality Spatial AI systems that enable real-world applications.
- Collaborate closely with Product teams to turn innovations into customer solutions for robotics & automation.
- Work alongside SLAM & software engineering experts to innovate in applied Spatial AI.
Requirements:
- Strong background in geometric computer vision, state estimation, or SLAM.
- Industrial experience in deploying SLAM solutions.
- Proficiency in C++.
- PhD in computer vision or robotics.
- Experience with machine learning techniques for geometric & semantic estimation.
- Experience with embedded software development.
Lead Research Engineer (SLAM / State Estimation) employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Research Engineer (SLAM / State Estimation)
✨Tip Number 1
Network with professionals in the robotics and AI fields. Attend industry conferences, webinars, or local meetups to connect with people who work in SLAM and state estimation. This can lead to valuable insights and potential referrals.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects related to SLAM or spatial AI. This not only enhances your skills but also demonstrates your commitment and knowledge to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your C++ skills and understanding the latest advancements in geometric computer vision and machine learning techniques. Practising coding challenges can also help you feel more confident.
✨Tip Number 4
Research the company’s recent projects and innovations in robotics. Being knowledgeable about their work will allow you to tailor your discussions during interviews and show genuine interest in their mission.
We think you need these skills to ace Lead Research Engineer (SLAM / State Estimation)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in geometric computer vision, state estimation, and SLAM. Use specific examples from your past work that demonstrate your proficiency in C++ and any relevant machine learning techniques.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your enthusiasm for the role. Mention how your background aligns with the responsibilities of designing and developing SLAM algorithms and your interest in Spatial AI solutions.
Showcase Relevant Projects: If you have worked on projects related to robotics, intralogistics, or warehouse automation, be sure to include these in your application. Detail your contributions and the impact of your work on the project's success.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for a technical role.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with SLAM, state estimation, and geometric computer vision in detail. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to contribute to the team.
✨Demonstrate Problem-Solving Skills
Expect technical questions that assess your problem-solving abilities. Prepare to walk through your thought process on how you would tackle common challenges in SLAM and perception algorithms, showcasing your analytical skills.
✨Emphasise Collaboration Experience
Since the role involves working closely with product teams, share examples of past collaborations. Discuss how you’ve effectively communicated complex ideas to non-technical stakeholders and contributed to turning innovations into practical solutions.
✨Prepare for Questions on Machine Learning
Given the importance of machine learning techniques in this role, be ready to explain your experience with these methods. Discuss how you've applied them in geometric and semantic estimation, and be prepared to provide examples of their impact on your projects.
