Computer Vision Engineer

Minerva
Berlin, Germany
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Computer Vision C++ (Programming Language) Python (Programming Language)

Job description

  • Coding!
  • Building in areas including Object Detection, Tracking and guidance, target re-identification
  • Working through software design, and architecture, all the way through to implementation
  • Integrating onto our hardware in real time
  • Stay current with emerging technologies and industry trends, recommending and implementing innovations to improve our products and processes
  • Dive deep into the details to identify, understand, and solve difficult technical problems
  • Constantly be challenging requirements to determine what adds value and what is not

Requirements

  • Bachelor’s or Master’s degree in Engineering or a related field
  • Minimum of + 7 years of experience working as Computer Vision generalist
  • Advanced use of Python and strong in C++
  • Robotics, autonomous driving or aerospace experience is a big plus
  • Excellent problem-solving skills and the ability to troubleshoot and resolve issues
  • Strong communication and collaboration skills to work effectively in a multidisciplinary team environment
  • Adaptability to work in a fast-paced, dynamic startup environment with a strong drive for innovation and continuous improvement
  • Ability to travel as needed

About the company

Minerva is STARK’s command and control software - the brain that connects operators to autonomous systems across multiple domains in real time. The Minerva team is a small, senior software group based in Berlin and Munich, working directly with our systems and hardware teams to build mission-critical C2 capabilities deployed in active operational environments. We move fast, ship real software, and operate under constraints most engineers never encounter - low-bandwidth networks, air-gapped devices, high-stakes decision loops. There is no room for abstraction for its own sake. Everything we build ends up in the hands of real operators in the field.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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