Snaga Solutions

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.

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 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.