At a Glance
- Tasks: Develop cutting-edge computer vision systems to detect drones in challenging battlefield conditions.
- Company: Join a mission-driven startup focused on changing the battlefield in Ukraine.
- Benefits: Live and work in the English countryside, then relocate to Kyiv for impactful work.
- Why this job: Make a real difference by working directly with the Ukrainian military and innovating defence technology.
- Qualifications: Hands-on experience in computer vision and a passion for solving complex problems.
- Other info: Dynamic team with backgrounds from Special Forces, Stanford, and more, fostering rapid innovation.
The predicted salary is between 36000 - 60000 £ per year.
Location: UK and Kyiv
Mission
Every month, drones injure and kill thousands of Ukrainians. Munin builds point-defense systems to stop them. Our first product is a hand-launched micro-missile designed to intercept small drones at close range. It is small enough to carry three in a vest and cheap enough for mass deployment. Our goal is to change the battlefield in Ukraine through very high-volume production, then deliver proven systems to NATO.
Role summary
We are hiring a founding computer vision engineer. You will be responsible for pipelines that detect Russian drones across battlefield conditions. You will start in the English countryside, living with the team of 6 next to our workshop and test site. After a few months, you will relocate to Kyiv to work directly with the Ukrainian military and scale production using front-line feedback. You will not operate near front-line areas, and you will work from Ukraine only while the security situation remains stable.
What you will do
- Own the real-time vision system for detecting small drones, working with other CV engineers
- Data collection and pipeline iteration using self-collected and battlefield data
- Work with soldiers to define requirements
- Deliver perception under tight compute, power, and latency limits
- Integrate perception into guidance and control systems
Requirements
- Significant hands-on experience building deployed computer vision pipelines
- You’ve shipped systems under time pressure
- High personal drive and tolerance for long, intense work periods
- Comfortable owning ambiguous problems end-to-end
Nice to have
- Startup experience
- Experience with electronics, firmware, control or mechanical design
- Serious personal engineering projects outside work or university
- Military background
Credibility
In four months, we went from concept to a robust missile prototype that is smaller and cheaper than anything comparable, can be fired with one hand, and reliably intercepts FPV drones. Recent work includes:
- Working with the Ukrainian armed forces to go from pre-idea to warhead design, production, and live-fire testing in 24 hours
- Car-mounted missile testing at 200 km/h
- Building an air cannon in two days, then destructively testing 50 missiles to diagnose a hardware issue
- Six launches in a single day, with design iterations between each launch
Apply
Our team is from the Special Forces, Stanford, 1X, Imperial College, FLIR, student engineering teams and non-traditional paths. What we share is the ability to build real systems fast, take ownership and work toward a safer Europe.
If you want to build something that matters, fill out this form: https://munindynamics.com/apply
Founding Computer Vision Engineer employer: Munin
Contact Detail:
Munin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Computer Vision Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who are already working in computer vision or defence tech. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially any that relate to computer vision or drone technology. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss how you've tackled ambiguous problems in the past, as this role demands a hands-on approach and quick thinking.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in being part of our mission to make a difference.
We think you need these skills to ace Founding Computer Vision Engineer
Some tips for your application 🫡
Show Your Passion: When you're writing your application, let your enthusiasm for computer vision and the mission of Munin shine through. We want to see that you’re not just looking for a job, but that you genuinely care about making a difference in the battlefield conditions.
Tailor Your Experience: Make sure to highlight your hands-on experience with computer vision pipelines. We’re looking for specific examples of projects you've worked on, especially those that demonstrate your ability to deliver under pressure. Don’t be shy—this is your chance to show us what you’ve got!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your skills and experiences without having to sift through fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and serious about joining our team!
How to prepare for a job interview at Munin
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest computer vision technologies and methodologies. Brush up on your experience with real-time vision systems and be ready to discuss specific projects where you've built deployed pipelines under pressure.
✨Understand the Mission
Familiarise yourself with Munin's mission and the challenges they face in the battlefield. Show that you understand the importance of your role in detecting drones and how it impacts the safety of soldiers and civilians alike.
✨Prepare for Problem-Solving Questions
Expect to tackle ambiguous problems during the interview. Think of examples from your past where you’ve taken ownership of a project or solved complex issues, especially under tight deadlines. This will demonstrate your high personal drive and adaptability.
✨Show Your Passion for Innovation
Highlight any personal engineering projects or experiences that showcase your creativity and technical skills. Whether it's a startup venture or a unique project, showing your enthusiasm for building innovative solutions can set you apart from other candidates.