Are you an experienced Computer Vision engineer and interested in working on cutting edge visual navigation technology?

We have an exciting role available where you will join our team to solve autonomous navigation in challenging environments without reliable GPS signals to protect lives in military and civilian use cases. You will be working with a team of engineers to develop the hardware and software to allow drones to navigate using visual information. You will be responsible for designing, developing, and integrating advanced computer vision solutions, using deep learning, classical techniques, 3D simulation and real platforms. As our work is highly knowledge driven you will be trained in and pioneering the use of novel frameworks, cloud computing and development tools to be able to handle the large volumes of data and deliver world-leading technology to our customers.

Day-to-day tasks you work on might include

Developing and improving vision-based navigation algorithms to be highly reliable and robust
Fusing and filtering information from different sensors to provide reliable position estimates
Deploying algorithms to our drone platform and optimising performance
Testing of your algorithms and analysing data with live or simulated drone flights
Improving our infrastructure for simulating, analysing, and deploying navigation software

What do you need to have?

Commercial software design and development experience, including OO design
Production-level proficiency with C++ and Python
Proficiency with computer vision libraries and techniques (OpenCV, image registration, etc.)
Excellent mathematical skills

Other requirements

Location: Hybrid. Most of the software development can be done remotely. Occasional visits to the office in Harwell for collaboration might be required.
Security clearance: You will need access to government restricted info to do the work, so you must be willing to and be eligible to pass security checks.

What you’ll get

Merit-based compensation (salary, bonuses, shares options scheme)
Investment in you to be the best you can be, including training resources (e.g., drone pilot training)
The ability to make a measurable difference in a small company, building cutting edge technology with big visions
Flexibility: Options for flexible working hours, working from home (when feasible) and custom arrangements that matter to you
A culture of supportive team and high ownership so you can get as much responsibility as you are willing to take on
A variety of perks: Gym discounts, cinema half price, free phone insurance, shopping, and supermarket discounts plus many more!

If you are not interested yourself, but know someone who do and are available, we’re offering a £2k bonus for any successful referral at https://archangelgroup.breezy.hr/team/portal !

About Archangel Imaging

Archangel Imaging is a UK AI startup transforming the way we protect people, lives and environments in difficult locations from dangers and disasters.Our team have a track record of delivering novel award-winning technology for high-profile organisations including Network Rail, Ministry of Defence as well as overseas wildlife-conservation parks. We have a world-class team with a forward-thinking culture too. Our leadership team have decades of technical leadership experience in aerospace & embedded engineering, having worked at Airbus, Qinetiq, British Army, Nokia, Thales. Many of our team also graduated from world-leading universities, including Oxford University, and we are part of selective communities like TechNation, Creative Destruction Lab and Oxford Foundry.

Our journey started with a belief that the world’s most challenging problems will be solved by humans and smart machines working together. Since then, we have been augmenting machines to be smarter, more resilient and collaborative. We’re on a winning streak and are looking for more great people to help us build that future together with our team of fun and supportive innovators, leaders, and owners.

Archangel Imaging

Archangel Imaging jobs for JavaScript developers

Categories

Locations

Collections