Computer Vision Engineer

Permanent employee, Full-time · Kyiv

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.

Your mission

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

Responsibilities

Design and develop object detection and tracking pipelines for guidance and terminal guidance
Work with frame-to-frame tracking, re-detection logic, and confidence estimation to prevent tracker drift or false lock
Develop approaches to separate targets from shadows, reflections, terrain, and background noise
Work with multi-sensor vision (daylight, night, thermal / IR), including alignment, synchronization, and fusion
Provide uncertainty and confidence metrics to downstream guidance and control systems
Integrate vision outputs into the guidance loop, considering latency, update rate, and coordinate frames
Optimize and deploy models on edge hardware (e.g. Jetson-class devices)
Analyze flight logs, investigate failure cases, and improve robustness based on real data
Collaborate closely with GNC, autonomy, and embedded teams during development and flight testing

Qualifications

Strong background in computer vision (classical + deep learning)
Experience with object tracking beyond basic APIs (understanding drift, re-initialization, failure modes)
Hands-on experience with video-based systems in real-world conditions
Solid programming skills in Python
Experience deploying or optimizing models for real-time / edge environments
Ability to reason about uncertainty, confidence, and system-level impact

Nice to have:

Experience with multi-sensor systems (day / night / thermal)
Background in robotics, UAVs, or autonomous system
Familiarity with ROS / ROS2 / C++
Experience with Kalman filters or sensor fusion
Knowledge of ONNX, TensorRT, CUDA
Experience working with GNSS-denied or degraded environments

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About us

LEGAL DISCLAIMER

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, color, religion, sex, national origin, disability, or any other characteristic protected by law. Due to the nature of our work in the defense sector, candidates must be eligible to obtain and maintain the appropriate security clearance required for the position.

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We are looking forward to hearing from you!

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