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- Tasks: Lead the design of cutting-edge SLAM algorithms for robotics and automation.
- Company: Join a dynamic robotics software company in London, innovating in Spatial AI.
- Benefits: Enjoy hybrid work with 2-3 days WFH and exciting corporate perks.
- Why this job: Be part of a team transforming industries with advanced technology and real-world applications.
- Qualifications: Strong background in SLAM, C++, and experience in deploying solutions required.
- Other info: Opportunity to collaborate with experts and contribute to groundbreaking projects.
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 as Lead Research Engineer (SLAM / State Estimation):- 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 previous projects related to SLAM or spatial AI. Be ready to discuss specific challenges you faced and how you overcame them, as this will highlight your problem-solving skills and practical experience.
✨Tip Number 4
Research the company’s current projects and technologies they are using. Tailoring your conversation to align with their work can show that you’re genuinely interested in contributing to their goals.
We think you need these skills to ace Lead Research Engineer (SLAM / State Estimation)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Lead Research Engineer position. Familiarise yourself with SLAM, state estimation, and the specific technologies mentioned in the job description.
Tailor Your CV: Customise your CV to highlight relevant experience in geometric computer vision, SLAM, and any industrial projects you've worked on. Emphasise your proficiency in C++ and any additional skills like GPU programming that align with the job requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for robotics and Spatial AI. Discuss how your background and expertise make you a perfect fit for the role, and mention any specific projects or achievements that demonstrate your capabilities.
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 European Tech Recruit
✨Showcase Your Technical Expertise
Make sure to highlight your strong background in geometric computer vision, state estimation, and SLAM during the interview. Be prepared to discuss specific projects where you've successfully deployed SLAM solutions, as this will demonstrate your practical experience.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your knowledge of optimisation, numerical linear algebra, and sensor fusion. Brush up on these topics and be ready to solve problems on the spot, as this will showcase your analytical skills.
✨Demonstrate Collaboration Skills
Since the role involves working closely with product teams and other experts, be prepared to discuss your experience in collaborative environments. Share examples of how you've turned innovations into customer solutions in previous roles.
✨Familiarise Yourself with Their Technology Stack
Research the company's existing Spatial AI systems and any technologies they use, such as C++ or GPU programming. Showing that you understand their tech stack and can contribute to it will set you apart from other candidates.
