Computer Vision Engineer (m/f/d) at STARK Systems
Berlin, , Germany -
Full Time


Start Date

Immediate

Expiry Date

20 Nov, 25

Salary

0.0

Posted On

21 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Aerospace, Robotics, Python, Continuous Improvement, C++

Industry

Computer Software/Engineering

Description

ABOUT US

STARK is a new kind of defence technology company revolutionizing the way autonomous systems are deployed across multiple domains. We design, develop and manufacture high performance unmanned systems that are software-defined, mass-scalable, and cost effective. This provides our operators with a decisive edge in highly contested environments.
We’re focused on delivering deployable, high-performance systems—not future promises. In a time of rising threats, STARK is bolstering the technological edge of NATO Allies and their Partners to deter aggression and defend Europe—today.

QUALIFICATIONS

  • Bachelor’s or Master’s degree in Engineering or a related field.
  • Computer Vision generalist who can write algorithms
  • Python and C++
  • Robotics, autonomous driving or aerospace experience
  • 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.

How To Apply:

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Responsibilities
  • 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.
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