Trainee Embedded Vision Integration Engineer

We are looking for a Trainee Embedded Vision Integration Engineer to join our sensor integration team and work alongside a Senior Engineer on precision turret systems for defense applications.

This is a hands-on technical role — not an internship with slides and reports. From day one you will assist with real hardware bring-up, camera integration, pipeline testing, and calibration tasks. You will learn by doing: reading real device datasheets, running GStreamer pipelines on NVIDIA Jetson, and debugging sensor output under actual field constraints.

If you have a solid foundation in C++ and Linux, genuine curiosity about embedded systems and computer vision, and want to grow fast in a defense-critical environment — this role is for you.

What We Offer

• Direct involvement in real defense projects for Ukraine — no toy tasks, no simulated environments.
• Mentorship from a Senior Embedded Vision Integration Engineer with hands-on daily guidance.
• Fast growth path: structured onboarding, real ownership of subtasks from month one.
• Exposure to the full embedded stack: hardware, drivers, pipelines, and system integration.
• Competitive trainee compensation with clear performance-based review milestones.
• Temporary military service exemption for the duration of work on defense-critical projects.

Requirements

Technical Background — Required

• Degree in progress or completed in Computer Science, Electrical Engineering, Physics, or similar.
• Working knowledge of C++ (C++11 minimum); comfortable writing and reading real code, not just tutorials.
• Linux command-line confidence: navigating the filesystem, running processes, reading logs, using ssh.
• Python scripting for basic automation and data processing tasks.
• Understanding of what a camera pipeline is — even at a conceptual level (capture → process → output).
• Ability to read technical documentation in English: datasheets, API references, driver guides.
• Readiness to work in a fast-paced, hardware-in-the-loop environment with real deadlines.

Will Be a Plus

• Any hands-on experience with cameras: USB webcam, CSI camera, IP camera — even in a hobby or university project.
• Familiarity with OpenCV — even basic image processing (read, resize, threshold).
• Exposure to GStreamer, V4L2, or RTSP streams — any level of familiarity.
• Experience with NVIDIA Jetson, Raspberry Pi, or any ARM-based Linux board.
• Basic understanding of computer vision concepts: image formation, color spaces, resolution vs. FOV.
• ROS or ROS2 exposure — even from a course or personal project.
• Any experience with sensor data: reading output from a rangefinder, IMU, or GPS module.
• Participation in robotics clubs, hackathons, or embedded systems competitions.

Responsibilities

• Assist the Senior Engineer with camera and sensor bring-up: connecting hardware, checking output, validating signal integrity.
• Run and modify GStreamer pipelines under supervision — test latency, diagnose frame drops, validate stream parameters.
• Support camera calibration workflows: capture calibration frames, run calibration scripts, verify results.
• Write and maintain test scripts in Python to automate sensor validation and regression checks.
• Document integration steps, hardware configurations, and test results in Confluence.
• Assist with sensor-to-sensor alignment tasks — follow established procedures and report anomalies.
• Support field testing preparation: pack and configure hardware, validate pipelines before deployment.
• Reproduce and isolate bugs reported from field tests — provide structured debug logs to the Senior Engineer.
• Research component datasheets, driver documentation, and integration notes as assigned.
• Gradually take ownership of defined subtasks as skills and context grow.

What We Expect From You

• Intellectual honesty: say what you know, flag what you don't, ask early rather than late.
• Structured thinking: when you hit a problem, describe what you tried, what you observed, and what you think the cause is.
• Ownership mindset: a trainee who asks "is there anything else I can do?" beats one who waits for the next task.
• Consistency over brilliance: we value engineers who show up, deliver, and communicate — every day.