Job VC
Senior Embedded Vision Integration Engineer
Technologies
Description
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.
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.