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- Tasks: Lead the design and development of cutting-edge SLAM algorithms for robotics.
- Company: Join a dynamic robotics software company based in London, focused on Spatial AI solutions.
- Benefits: Enjoy a hybrid work model with 2-3 days remote work each week.
- Why this job: Be part of an innovative team transforming robotics and automation with real-world applications.
- Qualifications: PhD in computer vision or robotics; strong SLAM and C++ skills required.
- Other info: Opportunity to collaborate with experts in a fast-paced, tech-driven environment.
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 be beneficial.
✨Tip Number 4
Research the company’s recent projects and innovations in spatial AI. Being knowledgeable about their work will help you tailor your discussions during interviews and show your 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. Highlight your role in these projects and the impact they had on the outcomes.
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, which is crucial in engineering roles.
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 explain how you approach challenges in algorithm design and implementation, particularly in high-performance localisation and mapping scenarios.
✨Familiarise Yourself with Their Products
Research the company's existing Spatial AI solutions and be ready to discuss how your skills can enhance their offerings. Showing genuine interest in their products will set you apart from other candidates.
✨Prepare for Collaborative Discussions
Since the role involves working closely with product teams, be ready to discuss your experience in collaborative environments. Share examples of how you've effectively communicated and worked with cross-functional teams to turn innovations into customer solutions.
