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Join a leading company at the forefront of spatial intelligence as a Lead Research Engineer. You'll develop cutting-edge SLAM and perception algorithms while working in a dynamic team environment. Enjoy hybrid working, generous benefits, and a chance to shape the future of autonomous systems.
Are you a skilled engineer with a passion for Computer Vision,SLAM and state estimation? Join our innovative team as a Lead Research Engineer and help shape the future of autonomous systems.
The top line
Visual SLAM 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.
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 stuff
The day-to-day
The must-haves
The nice-to-haves
All about us
We’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 technologiesfor 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.#LI-DNI