Snaga Solutions

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.

Our team is looking for a hands-on specialist to test and tune electronic and mechanical systems as part of the development, preparation, and testing of modern detection and aiming systems (turret platform). This is practical, hands-on work: test bench, measurement instruments, field trials, and a short cycle from refinement to real-world testing.

Key Responsibilities

• Preparing the product for testing.
• Tuning the mechanical and electronic parts of the product.
• Verifying the operability of components and systems.
• Conducting bench and field (test range) trials.
• Configuring drives, control systems, and auxiliary equipment.
• Working with the product's software running on embedded Linux: startup, basic diagnostics, log collection.
• Identifying faults, participating in troubleshooting and re-testing.
• Recording test results and preparing technical reports.
• Contributing to product refinement together with design engineers, programmers, and other engineers.
   

Requirements

• Experience with electromechanical systems, drives, actuators, or similar equipment.
• Understanding of how electronic and mechanical components work.
• Skills in configuring, diagnosing, and testing technical systems.
• Ability to work with measurement instruments and basic tools.
• Basic soldering skills and understanding of electronics — the key thing is not being afraid of a soldering iron.
• Willingness to work with Linux-based (embedded) systems at a user level.
• Readiness to travel to the test range and take part in practical trials.
• Attention to detail, technical mindset, sense of responsibility.
   

Nice to Have

• Experience with CNC machines, UAVs, or robotic systems.
• Understanding of aiming, tracking, and control system principles.
• Experience configuring servo drives, controllers, cameras, or sensors.
• Basic knowledge of the C programming language.
• Experience with electronics assembly and basic repair.
   

What We Offer

• Full-time, on-site work in Kharkiv (test bench, production facility, trips to the test range).
• Work in a team developing modern defense technologies.
• Participation in real projects with a short cycle from development to testing.
• Temporary military service exemption (reservation) in accordance with current legislation.

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.