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Senior SLAM Research Engineer

Who are we?

SLAMcore is a London-based startup founded by visual SLAM algorithm pioneers and specialists. With generous funding from top venture companies, we are developing breakthrough Spatial AI solutions for next generation robots and other smart devices by harnessing computer vision, sensor fusion, machine learning and the latest advances in cameras and processors.

Our vision for this role:

We are looking for a world class individual to join our team as a Senior SLAM Research Engineer. SLAM has begun to emerge from the research laboratory into real products, but we are only at the beginning of a journey as this technology evolves into a general Spatial AI capability for intelligent devices which can understand and interact with their geometric and semantic surroundings. SLAMcore intends to be at the centre of this exciting movement, developing and delivering the best applied Spatial AI solutions available to customers in robotics, drones and smart devices around the world. This is a chance to join an an exciting and rapidly growing technology company in a key role.

You will be working at the heart of our research team alongside world experts in SLAM, computer vision and machine learning. You will be innovating in algorithms and pushing forward our state of the art codebase to develop advanced functionality in applied Spatial AI. There will be opportunities to publish your research and to attend scientific conferences to represent SLAMcore and further develop our strong links with the academic community.

How would you help?

  • You will design and develop state of the art SLAM algorithms for high performance localisation, mapping and scene understanding
  • Develop high quality Spatial AI systems that enable new functionality in real-world scenarios
  • Be a core member of our research team alongside SLAM experts and pioneers
  • Work closely with our engineering team to deploy your innovations into solutions for customers across multiple applications in robotics and smart devices

The capabilities we are looking for: 

  • A relevant Ph.D. in computer vision or robotics
  • Strong background in advanced geometric computer vision or SLAM
  • Strong passion for and understanding of optimisation, numerical linear algebra, probabilistic estimation, sensor fusion
  • Related industrial experience in deploying/working on SLAM for end applications
  • Proficiency in C++ programming

Bonus points if you have: 

  • Experience with machine learning techniques for geometric and semantic estimation
  • GPU programming skills e.g. CUDA, OpenCL, Vulkan, Metal
  • Experience with embedded software development

Our benefits: 

  • Meaningful equity
  • Flexible working
  • The chance to play an important part of building an exciting technology company
  • Working with the best researchers and engineers in visual SLAM
  • Opportunities to publish research and attend scientific conferences
  • Open and diverse multinational team
  • Relocation costs covered
  • Regular team activities and lunches
  • Free gym membership
  • We are open to applications from anywhere in the world and are able to provide sponsorship for various types of visa

If you are interested in this role, please click apply now!

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.

Apply now!

Or, know someone who would be a perfect fit? Let them know!

Workplace and culture

Enabling the next generation of robotic applications is hard work, but we always make sure we find time for fun.  We have fortnightly lunches, monthly socials and various ad-hoc events throughout the year.

Being based in the heart of London gives us a huge range of options; from escape rooms to ping pong bars, from underground cocktail bars to some of the best restaurants on the planet. You will not be short of things to do and a great team to enjoy them with.

 

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