Senior Computer Vision Engineer (All Genders)

At Stark, we forge the future of European and national security through cutting-edge, AI-driven technology and unmatched engineering precision. As a premier defence technology company, our mission is clear: to equip NATO Allies and their partners  with next-generation autonomous defence platforms and advanced AI-driven software built to perform in the world’s most demanding environments.

We believe that true security stems from relentless innovation. By combining elite engineering talent with agile technology and an AI-native operational culture, Stark turns complex defence challenges into field-tested, multi-domain solutions.

WHY JOIN US

• The software and systems you work on directly protect personnel and defend European and national sovereignty.
• You will work alongside industry-leading minds on autonomous systems, advanced propulsion, and secure cyber platforms.
• We foster a fast-paced, collaborative environment where bold ideas are supported by serious R&D backing.

ABOUT THE TEAM

The Perception team brings together engineers specializing in Computer Vision, Robotics, and Sensor Systems, working at the core of STARK’s autonomous technologies. The team develops AI-driven perception capabilities that enable our platforms to understand and interact with complex, real-world environments — from object detection and tracking to sensor processing and guidance. As part of the On-Vehicle AI group, you will work closely with experts across hardware, autonomy, and data engineering, turning advanced perception algorithms into robust, real-time solutions deployed directly on target hardware. You’ll contribute to technically challenging projects where software, AI, and physical systems come together, with a direct impact on the capabilities and performance of our platforms.

YOUR MISSION

You will be developing cutting-edge Computer Vision solutions and algorithms for our autonomous vehicles, bringing these onto target hardware in real time following modern ML standards.

WHAT YOU WILL DO AT STARK

• Develop and optimize computer vision algorithms for real-time deployment on hardware target platforms.
• Build robust modules for Object Detection, Target Tracking, Guidance & Navigation, and Target Re-Identification.
• Work across the full software lifecycle, from software design and architecture to deployment on physical devices.
• Perform data engineering, bug fixing, and continuous model performance evaluation.
• Stay current with emerging technologies and industry trends, recommending and implementing innovations.
• Constantly challenge requirements to determine what adds direct value to real-time operations.

WHAT YOU BRING TO THE MISSION

• Bachelor's or Master's degree in Engineering, Computer Science, or a related field.
• Strong Computer Vision generalist capabilities with proven experience writing algorithms and integrating them onto target hardware.
• Proficiency in Python and C++ for computer vision applications.
• Experience in robotics, autonomous driving, or aerospace sectors.
• Excellent problem-solving skills with an ability to troubleshoot complex issues under real-time constraints.

NICE TO HAVE

• Experience with ROS and ROS 2 frameworks.
• Experience working with optical navigation or real-time object detection pipelines.
• Background in target re-identification or multi-sensor tracking setups.

If you're interested in building the future of European Defence with us, and you see yourself reflected on the description above, please send us your CV in English. We're looking forward to meeting you!

SECURITY CLEARANCE

Due to the nature of our work in the defence sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for this position. Details will be provided during the recruitment process.

EQUAL OPPORTUNITY

We are an equal-opportunity employer committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability, or any other characteristic protected by applicable law.