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- Tasks: Lead the design and development of cutting-edge SLAM algorithms for robotics.
- Company: Join a dynamic robotics software company in London, innovating in Spatial AI solutions.
- Benefits: Enjoy a hybrid work model with flexible remote options and a vibrant office environment.
- Why this job: Be part of a team transforming robotics and automation with real-world applications.
- Qualifications: Strong background in geometric computer vision and proficiency in C++ required.
- Other info: Ideal for those with a PhD in computer vision or robotics; GPU programming skills are a plus.
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.
- Strong background in geometric computer vision, state estimation, or SLAM.
- Expertise in optimisation, numerical linear algebra, & sensor fusion.
- Industrial experience in deploying SLAM solutions.
- Proficiency in C++.
- PhD in computer vision or robotics.
- Experience with machine learning techniques for geometric & semantic estimation.
- GPU programming skills (CUDA, OpenCL, Vulkan, Metal).
- Experience with embedded software development.
Lead Research Engineer (SLAM / State Estimation) employer: European Tech Recruit
Contact Detail:
European Tech Recruit Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Research Engineer (SLAM / State Estimation)
✨Tip Number 1
Familiarise yourself with the latest advancements in SLAM and state estimation. Being able to discuss recent developments or breakthroughs during your interview can demonstrate your passion and expertise in the field.
✨Tip Number 2
Network with professionals in the robotics and AI community. Attend relevant meetups, webinars, or conferences where you can connect with industry experts and potentially get referrals for the position.
✨Tip Number 3
Prepare to showcase your practical experience with SLAM solutions. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them, as this will highlight your problem-solving skills.
✨Tip Number 4
Brush up on your C++ programming skills, as proficiency in this language is crucial for the role. Consider working on small projects or contributing to open-source initiatives that involve SLAM or spatial AI to strengthen your coding portfolio.
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 expertise in optimisation and sensor fusion.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for robotics and Spatial AI. Mention how your skills align with the responsibilities of the Lead Research Engineer role and express your enthusiasm for contributing to innovative solutions.
Highlight Relevant Projects: Include details about any projects you've worked on that involved SLAM solutions or advanced algorithms. Discuss your role in these projects and the impact they had on the overall outcome.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all technical terms are used correctly to reflect your expertise.
How to prepare for a job interview at European Tech Recruit
✨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 complex challenges in algorithm design and optimisation, and be ready to provide examples from your past work.
✨Familiarise Yourself with Their Products
Research the company's existing Spatial AI solutions and understand their applications in robotics and automation. This knowledge will allow you to engage in meaningful discussions about how your skills can enhance their offerings.
✨Prepare for Collaborative Scenarios
Since the role involves working closely with product teams, think of examples where you've successfully collaborated with others. Be ready to discuss how you communicate technical concepts to non-technical stakeholders and how you handle feedback.
