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Computer Vision Engineer (m/f/d)

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Onsite

Computer Vision Engineer (m/f/d)

Spleenlab

Computer Vision Engineer (m/f/d)

Skills

PythonMachine LearningLinux

8 months ago

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Important information


Contract type:

Permanent

Location:

07 Saalburg-Ebersdorf, Germany

Work mode:

Onsite

Published on:

28 August 2026

What they need


Full-time

Saalburg-Ebersdorf | Jena

Software Engineering

Profile

As a Computer Vision Engineer, you design and implement machine learning solutions for autonomous systems, focusing on tasks like object detection, semantic segmentation, and SLAM. You work with multimodal sensors (cameras, lidar, radar) and collaborate with teams to bring ML models into real-world systems that fly, drive, or swim. Proficient in C/C++, Python, Linux, and CI, you turn vision algorithms into reliable autonomous capabilities.

Your Role

  • Design and implement amazing machine learning solutions for our autonomous systems, including tasks like object detection, semantic segmentation, behavioral cloning or reinforcement learning
  • Develop algorithms for different modules like sensor fusion, perception, SLAM, environmental analysis, motion prediction or mission and motion planning
  • Work with multimodal Sensors: Cameras, Lidar, Radar, etc.
  • Interact with our cross functional engineering team and customers to identify opportunities and requirements
  • Directly apply machine learning models into real world products that will fly, drive or swim autonomously

At a minimum we’d like you to have

  • Bachelor degree in Computer Science or related technical field or equivalent practical experience
  • Experience with one or more programming languages including but not limited to: C/C++, Python
  • Experience with SW Continuous Integration
  • Experience with SW Development under Linux

It’s preferred if you have

About

Are you ready to redefine the future of transportation across all domains? At Spleenlab, we're building the safety backbone for autonomous movement, ensuring people and things can navigate the world with confidence. Our expertise spans self-driving cars, trucks, maritime vessels, UAVs, air taxis, helicopters, and traditional aircraft.

We specialize in creating cutting-edge AI perception software powered by machine learning, specifically designed for safety-critical autonomous systems. This isn't just about code; it's about enabling a safer, more efficient tomorrow across land, air, and sea.

As part of our dynamic and interdisciplinary team, you'll work alongside recognized AI leaders, contribute to groundbreaking projects, and directly influence the next generation of autonomous mobility. If you're an ambitious AI professional eager to make a real difference, we want to hear from you.

Benefits

  • Corporate Benefits: Team members enjoy exclusive brand deals and appealing non-cash benefits.
  • Work-Life-Balance: Flexible working hours and mobile working options.
  • Vacation Days: 30 days of vacation per year.
  • Ergonomic Workstations: Equipped with height-adjustable desks and ergonomic office chairs.
  • Company Events: Regular team events, meet & greets, and an annual Christmas party as integral parts of our company culture.
  • Training Opportunities: Includes participation in conferences, trade fairs, and leading international top conferences.
  • Free Drinks: Enjoy complimentary coffee, tea, and water to keep you refreshed throughout the day.
  • Travel Expenses: Allowances for additional meal expenses during business trips.

Your Next Opportunity Starts Here

At Spleenlab, we don’t just accept difference – we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products and our community. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity. We consider all qualified applicants, in accordance with the legal requirements. If you have a disability or special need that requires accommodation, please let us know.

Please send your CV and accompanying material directly to [email protected]

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