Snaga Solutions

We are looking for a Technical Project Manager who is a genuine bridge between our software and hardware teams — not just a coordinator, but someone who understands both worlds well enough to add value in each direction. You will translate field test results into engineering tasks, help the Lead Architect research and validate solutions, and champion AI tooling across the team.
 

What We Offer

• A central role in mission-critical autonomous systems development for national defense.
• Direct collaboration with top-tier CV, embedded, and robotics engineers.
• Significant influence on technical direction and team culture.
• Freedom to explore and introduce AI tooling across the team's workflows.
• Competitive compensation aligned with expertise.
• Temporary exemption from military service for the duration of work on defense-critical projects.

Requirements

     Technical Background — Required

• 4+ years in software engineering; (CV/ML, technical lead, or architect role)
• Solid understanding of CV pipelines: detection, tracking, SLAM/visual odometry — enough to evaluate accuracy and latency trade-offs from field results.

• Python proficiency; C++ reading-level minimum.

   

  Will be a Plus

• Hands-on experience with ONNX, TensorRT, or quantization workflows.
• Experience with deep learning frameworks (PyTorch or TensorFlow) and model optimization workflows.
• Working knowledge of ROS — nodes, topics, services, inter-module communication.
• Familiarity with edge platforms (NVIDIA Jetson or similar) and real-time constraints.
• Familiarity with autopilot ecosystems (ArduPilot, Betaflight) — enough to read architecture docs and contribute to technical decisions.
• Sensor fusion experience (Camera + IMU + GPS).

Project & Communication Skills

• Proven ability to manage complex technical projects across multi-disciplinary teams.
• Able to take polygon/field test results and convert them into clear, prioritized engineering tasks.
• Comfortable working directly with a Lead Architect — receiving high-level requirements, researching solutions, presenting structured proposals.
• Proficient with Jira and Confluence — task tracking, sprint management, structured documentation.
• Strong written and verbal communication; comfortable leading design reviews and justifying trade-offs.

AI Tools & Mindset

• Active daily user of AI tools (Claude, Cursor, Copilot, or similar).
• Genuine drive to become an internal AI champion — introduce tools, identify new use cases, raise the bar for the whole team.

Responsibilities

• Own end-to-end delivery across multiple workstreams (autonomous drone, turret control, and future platforms): planning, tracking, risk management, reporting.
• Primary technical liaison between software (CV/ML, ROS) and hardware/embedded teams — translating requirements, surfacing blockers, resolving misalignments.
• Attend polygon and field tests; translate results — including HIL/SIL outcomes — into structured engineering feedback and task descriptions.
• Work with the Lead Architect to research new approaches; prepare structured proposals for architectural decisions.
• Coordinate module integration (optical guidance, servo control, ROS layers) — interfaces, latency requirements, milestones.
• Maintain project documentation: requirements, test reports, decision logs, vendor deliverable tracking.
• Introduce and evangelize AI tooling across engineering workflows.

Nice to Have

• Hands-on experience with autonomous drones, FPV, or UAS platforms.
• ArduPilot or Betaflight ecosystem experience.
• MLOps or model deployment pipeline experience.
• Experience managing vendor/partner relationships — RFP processes, deliverable tracking.
• Systems thinker — holds the full picture while diving into details when needed.
• High ownership; comfortable with ambiguity and fast-moving field environments.
• Surfaces problems early with proposed solutions, not just issues.
   

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.

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

You will work on 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 an engineer who already has solid embedded Linux experience and wants to grow into full integration ownership, working on hardware bring-up, driver configuration, and pipeline development under the guidance of senior engineers.

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

What We Offer

• Direct contribution to defense projects for Ukraine.
• Mentorship from top experts in vision hardware, UAV systems, and embedded engineering.
• Hands-on involvement in integration and architecture decisions.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.
   

Requirements

Core Technical Skills - Required

• 3–5 years of commercial embedded software development.
• Degree in Computer Science, Electrical Engineering, Physics, or similar.
• Solid Linux embedded development experience (NVIDIA Jetson, Raspberry Pi, ARM SoCs as companion computers).
• Proficient in C++14/17; Python for tooling and scripting.
• Hands-on experience with at least one flight stack: ArduPilot, PX4, Betaflight, or INAV.
• Working knowledge of MAVLink and/or MSP protocols: telemetry, basic command & control.
• Hands-on experience with camera integration: MIPI CSI, USB3, or RTSP streams.
• Experience with video pipeline development: GStreamer, V4L2 (DeepStream is a plus).
• Basic experience connecting companion computers to flight controllers over UART/CAN/Ethernet.
• Understanding of video downlink constraints: digital vs. analog video, latency budgeting, bandwidth limits.
• Familiarity with hardware bring-up and peripheral integration (device trees or kernel modules are a plus).
• Ability to work with moderate supervision and take ownership of well-defined integration tasks.
   

Will Be a Plus

• Experience with thermal/IR cameras or night-vision imaging.
• Stabilized gimbal integration.
• RC link protocols: ExpressLRS, CRSF, SBUS.
• IMU integration and sensor fusion basics.
• GPS-denied navigation, visual odometry, or optical flow exposure.
• ROS/ROS2 experience.
• Multi-sensor time synchronization (PPS, hardware triggers, PTP).
• BSP customization or kernel module development.
• Model deployment pipelines on edge devices (TensorRT, ONNX).
• QGroundControl/Mission Planner usage or 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 under senior guidance.
• 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.
• Help expose sensor and flight data to higher-level targeting and autonomy subsystems.
• Participate in hardware selection and system architecture discussions.
• Support flight testing, debugging, and system maintenance.
• Contribute to ensuring robustness of deployed systems under field and EW conditions.
   

Ideal Candidate Profile

You are a solid embedded engineer comfortable working close to hardware, with hands-on experience connecting cameras and sensors, building video pipelines on edge platforms, and communicating with flight controllers over MAVLink or MSP. You can debug interfaces and timing issues, follow integration specs, and are ready to grow into full ownership of the drone integration layer with the support of senior engineers.

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 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.