Senior Embedded Vision Integration Engineer

We are looking for a Senior Embedded Vision Integration Engineer to build and integrate sensor pipelines for precision turret systems operating under strict real-time and hardware constraints.

You will be responsible for connecting and synchronizing cameras, rangefinders, and optical sensors into a cohesive embedded platform — ensuring reliable, low-latency data delivery to targeting and control systems. This role is ideal for someone who owns the full integration layer: from hardware bring-up and driver configuration to pipeline architecture and system-level testing. You will work directly on defense projects for Ukraine, seeing a short path from implementation to field testing.

What We Offer

• Direct contribution to defense projects for Ukraine.
• Collaboration with top experts in vision hardware, robotics, and embedded systems.
• Ownership of key architectural and integration decisions.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.

Requirements

Core Technical Skills — Required

• 5–8 years of commercial embedded software development.
• Degree in Computer Science, Electrical Engineering, Physics, or similar.
• Strong Linux embedded development experience (NVIDIA Jetson, ARM SoCs).
• Solid C++14/17/20; Python for tooling and scripting.
• Hands-on experience with camera integration: MIPI CSI, USB3, GigE Vision, RTSP streams.
• Low-latency video pipeline development: GStreamer, V4L2, DeepStream.
• Experience integrating rangefinders (laser, stereo-based) and reading/fusing sensor output at the system level.
• Understanding of optical systems: FOV characteristics, wide-angle vs. narrow-angle lenses, zoom control interfaces.
• Experience with hardware bring-up, device trees, kernel modules, or BSP customization.
• Solid understanding of real-time constraints, latency budgeting, and system timing.
• Ability to work independently with minimal supervision.

Will Be a Plus

• Experience with thermal/IR cameras and night-vision imaging.
• PTZ or stabilized gimbal integration.
• IMU integration and sensor fusion basics.
• ROS/ROS2 experience.
• Multi-sensor time synchronization (PPS, hardware triggers, PTP).
• MLOps or model deployment pipelines on edge devices.
• Mission-critical or safety-critical systems experience.
• Remote telemetry or monitoring tooling.

Responsibilities

• Integrate and configure EO/IR cameras, laser rangefinders, and optical sensors into the turret platform.
• Build and maintain low-latency video pipelines supporting wide-angle (search/acquisition) and narrow-angle (tracking/engagement) channels.
• Implement FOV switching logic, inter-channel synchronization, and sensor alignment.
• Interface with rangefinder hardware and expose distance data to the targeting subsystem.
• Perform camera calibration and sensor-to-sensor geometric alignment.
• Collaborate with the CV team to ensure clean, well-timed data delivery to detection and tracking modules.
• Integrate sensor outputs with turret control and stabilization systems.
• Participate in hardware selection and system architecture decisions.
• Ensure robustness and reliability of deployed sensor systems under field conditions.
• Support field testing, debugging, and system maintenance.

Recruitment Process:

• CV Screening: Applications are reviewed within 24 hours.
• Pre-Screening: A short Q&A session (AI or with a recruiter) to assess your experience.
• Shortlisting: Selected candidates are presented to the hiring manager.
• Interview: Tech discussion with the project team.
• Offer & Onboarding: Successful candidates receive an offer and start the onboarding process.

Note: You can choose to complete the pre-screening via an automated session (recommended for faster feedback) or with a recruiter.

Information about the processing of your personal data is provided in our Privacy Policy, which is available online a Privacy Policy