Snaga Solutions

We are looking for a Senior Embedded Systems Integration Engineer to join a defense project focused on precision turret systems operating under strict real-time, hardware, and field reliability constraints.

You will be responsible for building and integrating the embedded layer that connects control algorithms, sensor inputs, edge computing platforms, and targeting/stabilization subsystems into a cohesive turret platform. This role is ideal for an engineer who can work close to hardware, understand system behavior end-to-end, and contribute to control logic, sensor processing, and platform integration.

You will work directly on defense projects for Ukraine, with a short path from implementation to field testing and real-world deployment.
 

What We Offer

• Direct contribution to defense projects for Ukraine.
• Collaboration with experts in embedded systems, robotics, control systems, sensors, and defense technology.
• Ownership of key architectural and integration decisions.
• Hands-on work with real hardware, field testing, and deployed systems.
• 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 experience.
• Degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, Robotics, or a similar technical field.
• Strong Linux embedded development experience.
• Hands-on experience with NVIDIA Jetson, Raspberry Pi, ARM-based platforms, or similar edge devices.
• Solid C++14/17/20 skills.
• Python for tooling, prototyping, automation, and data analysis.
• Experience with hardware bring-up, peripheral integration, driver configuration, GPIO/UART/I2C/SPI/CAN/Ethernet interfaces.
• Understanding of real-time constraints, latency budgeting, system timing, and deterministic behavior.
• Experience with control algorithms, stabilization logic, or motion/control systems.
• Strong mathematical background: linear algebra, geometry, trigonometry, coordinate systems, filtering, signal processing basics.
• Experience integrating and processing data from sensors at the system level.
• Ability to work independently with minimal supervision and make engineering decisions in uncertain hardware environments.
   

Sensor & Platform Experience

The ideal candidate should have hands-on experience with several of the following areas:

• Edge computing platforms: Jetson Nano / Xavier / Orin, Raspberry Pi, ARM SoCs.
• Short-range radar integration and data processing.
• Audio sensors, microphones, acoustic arrays, or sound-based detection systems.
• General audio/signal processing: filtering, noise reduction, feature extraction, direction estimation, or event detection.
• Camera or optical sensor integration as part of a broader sensor stack.
• IMU, encoders, motor controllers, or positioning sensors.
• Sensor synchronization, timestamping, and alignment.
• Low-level communication with hardware modules and external devices.
• Field-oriented debugging of embedded systems.
   

Will Be a Plus

• Experience with turret systems, PTZ platforms, stabilized gimbals, robotics, drones, or unmanned systems.
• Experience with EO/IR cameras, thermal cameras, night vision, or optical tracking systems.
• Knowledge of PID control, Kalman filters, sensor fusion, target tracking, or stabilization algorithms.
• Experience with radar signal processing or acoustic localization.
• ROS/ROS2 experience.
• Experience with GStreamer, V4L2, DeepStream, OpenCV, or edge AI pipelines.
• Experience with model deployment on edge devices.
• Mission-critical, defense, aerospace, robotics, or safety-critical systems experience.
• Remote telemetry, diagnostics, logging, and monitoring tooling.
• Experience with field testing and debugging hardware in non-lab conditions.
   

Responsibilities

• Develop and integrate embedded software components for the turret platform.
• Work with Jetson, Raspberry Pi, and other edge hardware platforms.
• Integrate sensors including short-range radars, sound sensors, optical sensors, IMUs, and other peripheral devices.
• Implement and tune control logic for turret movement, stabilization, and positioning.
• Support development and integration of targeting, tracking, and sensor alignment logic.
• Process and expose sensor data to higher-level targeting, detection, or control subsystems.
• Work with mathematical models related to geometry, aiming logic, coordinate transformations, filtering, and timing.
• Build reliable communication between embedded modules, sensors, control boards, and compute platforms.
• Collaborate with CV, robotics, hardware, and control teams to ensure clean and timely data delivery.
• Participate in hardware selection, architecture discussions, and integration planning.
• Debug timing, latency, synchronization, and reliability issues across the embedded stack.
• Support field testing, troubleshooting, calibration, and system maintenance.
• Ensure robustness and reliability of deployed systems under field conditions.
   

Ideal Candidate Profile

You are a strong embedded engineer who is comfortable working close to hardware and understands how real systems behave outside of perfect lab conditions. You can connect sensors, debug interfaces, analyze timing, reason about control logic, and translate mathematical or algorithmic requirements into reliable embedded software.

You do not need to be only a computer vision engineer. This role is broader: it combines embedded Linux, edge platforms, sensor integration, control systems, signal processing, and applied mathematics for real defense hardware.

We are looking for a Senior Embedded Vision Integration Engineer to build and integrate camera, sensor, and video pipelines for UAV platforms operating under strict real-time, weight, and hardware constraints.

You will be responsible for connecting cameras, gimbals, and onboard sensors into a cohesive embedded platform - from the companion computer to the flight controller - ensuring reliable, low-latency video and telemetry delivery to targeting, navigation, and ground control systems. This role is ideal for someone who owns the full integration layer: from hardware bring-up and driver configuration to flight stack integration and in-flight 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, UAV systems, and embedded engineering.
• 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

• 4–8 years of commercial embedded software development.
• Degree in Computer Science, Electrical Engineering, Physics, or similar.
• Strong Linux embedded development experience (NVIDIA Jetson, Raspberry Pi, ARM SoCs as companion computers).
• Solid C++14/17/20; Python for tooling and scripting.
• Hands-on experience with flight stacks: ArduPilot, PX4, Betaflight, or INAV.
• Practical knowledge of MAVLink and/or MSP protocols: telemetry, command & control, camera/gimbal messages.
• Hands-on experience with camera integration: MIPI CSI, USB3, RTSP streams.
• Low-latency video pipeline development: GStreamer, V4L2, DeepStream.
• Experience integrating companion computers with flight controllers over UART/CAN/Ethernet.
• Understanding of video downlink constraints: digital vs. analog video, latency budgeting, bandwidth limits.
• Experience with hardware bring-up, device trees, kernel modules, or BSP customization.
• Ability to work independently with minimal supervision.
   

Will Be a Plus

• Experience with thermal/IR cameras and night-vision imaging.
• Stabilized gimbal integration and control.
• Flight stack porting or custom firmware modules (ArduPilot HAL, Betaflight targets).
• RC link protocols: ExpressLRS, CRSF, SBUS.
• IMU integration, sensor fusion, EKF tuning basics.
• GPS-denied navigation, visual odometry, or optical flow.
• ROS/ROS2 experience.
• Multi-sensor time synchronization (PPS, hardware triggers, PTP).
• Model deployment pipelines on edge devices (TensorRT, ONNX).
• Ground control station development or QGroundControl/Mission Planner customization.

• Mission-critical or safety-critical systems experience.

   

Responsibilities

• Integrate and configure cameras, gimbals, and optical sensors on UAV platforms.
• Build and maintain low-latency onboard video pipelines and video downlink channels.
• Integrate companion computers with flight controllers running ArduPilot/PX4/Betaflight via MAVLink/MSP.
• Implement telemetry, command, and video control channels between drone and ground station.
• Perform camera calibration and sensor alignment.
• Collaborate with the CV team to ensure clean, well-timed data delivery to detection, tracking, and navigation modules.
• Expose sensor and flight data to higher-level targeting and autonomy subsystems.
• Participate in hardware selection and system architecture decisions.
• Ensure robustness of deployed systems under field and EW conditions.
• Support flight testing, debugging, and system maintenance.

We are building a precision turret platform for the defense of Ukraine and are looking for a strong embedded engineer to own sensor integration and control logic - from hardware bring-up to field deployment.
 

What you'll do

• Integrate key sensors - LiDAR, thermal (IR) cameras, IMU - on edge platforms (NVIDIA Jetson, ARM).
• Implement and tune control and stabilization algorithms for turret movement and aiming.
• Apply applied mathematics in practice: coordinate transformations, filtering (Kalman), geometry, timing.
• Debug real hardware and support field testing of deployed systems.

What we're looking for

• 4+ years of embedded software development (Linux, C++).
• Hands-on experience with LiDAR and/or thermal camera integration.
• Solid math background: linear algebra, geometry, filtering.
• Experience with control algorithms, stabilization, or motion systems.
• Comfortable working close to hardware (UART/I2C/SPI/CAN) and making decisions independently.

Will be a plus

• Turrets, gimbals, drones, robotics, or other unmanned systems.
• Sensor fusion, target tracking, PID control.
• ROS2, GStreamer, OpenCV, edge AI pipelines.

What we offer

• Direct contribution to the defense of Ukraine - short path from code to field deployment.
• Ownership of architectural and integration decisions.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.

Not a classic PM role. We need an engineer who grew into managing delivery: reads code, drafts baseline architecture himself, talks to CV/embedded engineers as a peer. Focus - technical delivery.
 

Requirements

• 4+ years hands-on software engineering (backend / embedded / robotics / ML) before or alongside a lead/PM role.
• Can independently turn high-level requirements into a solution architecture and technical decomposition - and defend it.
• Python; reads C++.
• Understands ML/CV trade-offs (accuracy / latency / compute). Deep CV expertise not required.
• Has driven projects across software + hardware teams.
• Daily AI tools user (Claude / Cursor / Copilot).
   

Plus: CV pipelines, ROS, Jetson, ONNX/TensorRT, ArduPilot/Betaflight, FPV/drones, sensor fusion.
 

What You'll Do

• Turn the Lead Architect's direction into architectures, decompositions, and implementable tasks.
• Own delivery across workstreams (autonomous drone, turret control): planning, risks, reporting.
• Bridge software (CV/ML, ROS) and hardware/embedded teams; coordinate module integration.
• Attend field tests; translate results into engineering tasks.

We Offer

• Autonomous systems for national defense; strong CV/embedded/robotics team.
• Real influence on technical direction.
• Competitive compensation + military service exemption.