Are you a skilled engineer with a passion for SLAM? Join our innovative team as a SLAM Engineer and help shape the future of autonomous systems.A chance to work in a fascinating industry. Other companies say they’re cutting edge; we’re literally at the forefront of spatial intelligence.Packed with benefits and perks, including hybrid working, enhanced employer pension contributions, unlimited external private coaching, frequent social events, cash to spend on your home setup, and more.Play a pivotal role in deploying autonomous solutions for some of the biggest names in warehousing and intralogistics worldwide.The top lineSLAM has evolved from research into real-world applications, but this is just the beginning. SLAM is quickly transforming into general Spatial AI, enabling intelligent devices to understand and interact with their geometric and semantic surroundings.
Please read the following job description thoroughly to ensure you are the right fit for this role before applying.
Slamcore is at the heart of this revolution, delivering advanced Spatial AI solutions to clients in robotics, intralogistics, and warehouse automation. This is your opportunity to join a fast-growing tech company in a key position.
We're looking for someone with a strong background in mathematics or computer science, experienced in developing and deploying state estimation algorithms on embedded platforms in industrial environments. If you're passionate about SLAM, Computer Vision, and state estimation, and are excited to join a world class team, we want to hear from you!The good stuffSlamcore is a hybrid-first company, however ideally you’ll live within commuting distance of our London HQ so you can visit the office regularly25 days’ holiday a year plus 8 UK public holidays (or local equivalent) – plus bonus time off between Christmas and New Year.Enhanced employer pension contributionsPrivate health insuranceMeaningful equity in a fast growing businessFlexible working arrangementsGenerous professional and personal development budget, including unlimited private coaching sessions with More Happi.Frequent team social events, free weekly team lunches, snacks and a fully stocked drinks fridge at our Borough HQ.Your own company card for getting equipment, training, books, snacks, coffee£500 to spend on your work from home setupEnhanced parental leaveThe day-to-dayDesign and develop state-of-the-art SLAM algorithms for high-performance localisation, mapping, and scene understandingCreate high-quality Spatial AI systems that enable real-world applicationsCollaborate closely with Product Teams to turn innovations into customer solutions for robotics and automationWork alongside SLAM and software engineering experts to innovate in applied Spatial AIThe must-havesStrong background in geometric computer vision, state estimation, or SLAMExpertise in optimisation, numerical linear algebra, and sensor fusionIndustrial experience in deploying SLAM solutionsProficiency in C++The nice-to-havesPhD in computer vision or roboticsExperience with machine learning techniques for geometric and semantic estimationGPU programming skills (CUDA, OpenCL, Vulkan, Metal)Experience with embedded software developmentAll about usWe’re a London-based startup founded by visual SLAM algorithm pioneers. Having raised over $30M in funding from top investors around the world, we’re developing breakthrough spatial intelligence solutions for the next generation of intralogistics solutions.Next steps
There’s loads more info about us on our website. We’d suggest About and Meet the team as your first two stops to learn more about the industry, and what it’s like to work here.
Sound good? If you are interested, just hit Apply Now to get the ball rolling.We are an equal opportunity employer and value diversity at our company. We do not discriminate on the grounds of gender, sexual orientation, marital or civil partner status, pregnancy or maternity, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.
#J-18808-LjbffrRemote working/work at home options are available for this role.
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