Snaga Solutions

We are looking for a Senior/Lead Computer Vision Engineer to design and build high-performance perception systems for autonomous platforms, robotics, and advanced navigation operating under strict real-time and hardware constraints.

You will shape the architecture, implementation, and optimization of the entire vision pipeline - from geometric processing and object detection to tracking, sensor fusion, and integration with control systems. This role is ideal for someone who can independently solve hard technical problems and deliver reliable systems on embedded hardware.
You will work directly on defense projects for Ukraine, seeing a short path from code implementation to field testing.

What We Offer

• The chance to design mission-critical autonomous vision systems.
• Direct contribution to defense projects for Ukraine.
• Collaboration with top experts in vision, robotics, and embedded systems.
• Ownership of key architectural and technical decisions.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.

Requirements

Core Technical Skills

• 10+ years commercial software development; 5+ years in CV/ML or robotics.
• Degree in Computer Science, Math, Physics, or similar.
• Proven record of successful design and implementation of real-time CV or control algorithms.
• Strong in:
  • Object detection & tracking, Kalman filtering, sensor fusion.
  • Camera calibration, multi-view geometry, 3D reconstruction.
  • SLAM / visual odometry.
  • Real-time control or optimal control algorithms.
• Expertise with PyTorch or TensorFlow.
• Embedded ML optimization: TensorRT, ONNX, quantization, pruning.
• Excellent C++14/17/20 and solid Python.
• Experience with:
  • NVIDIA Jetson, ARM SoCs.
  • Low-latency video pipelines: GStreamer, DeepStream.
  • OpenCV, linear algebra, numerical methods.
  • ROS/ROS2.
  • Building reliable real-time systems in challenging conditions.
• Ability to work independently with minimal supervision.

Responsibilities

• Architect and implement vision algorithms for autonomous platforms.
• Optimize CV/ML models for real-time performance on constrained hardware.
• Design and maintain low-latency camera pipelines (GStreamer, CUDA, DeepStream).
• Integrate vision with navigation, sensor fusion (IMU), and control systems.
• Perform camera calibration, geometric vision, and sensor alignment.
• Research and evaluate new algorithms to further improve accuracy, robustness, and performance.
• Participate in hardware/sensor selection and system architecture design.
• Ensure robustness, safety, and performance of deployed systems.
• Support field testing and system maintenance.

Nice to Have

• Experience with:
  • Night-vision cameras, infrared sensors.
  • Autonomous robotics, drones, UGVs, UAV/UGVs.
  • Multi-sensor fusion (Camera + IMU + LiDAR).
  • Real-time CV.
  • MLOps / deployment pipelines.
  • Experience with ArduPilot/PX4, MAVLink, or Betaflight integration.
  • Mission-critical or functional safety systems.
  • Web/cloud monitoring or remote telemetry tools.

We are building a high-performance blockchain-based gaming platform where core application logic is executed directly on Solana smart contracts.
 

The project focuses on deterministic, transparent, and verifiable on-chain mechanics, with a modern web interface layered on top.
A strong emphasis is placed on performance, security, and trust-minimized architecture, rather than traditional centralized systems.
 

This is not a typical Web3 integration role, you will work on protocol-level logic that directly defines how the platform behaves.

Requirements
 

• Experience: 2+ years of blockchain development with a strong focus on Solana. Experience with gaming platforms, on-chain logic, or protocol-level systems is a strong plus.
• Knowledge: Strong expertise in Solana, smart contracts (Rust, Anchor), and decentralized application architecture.
  Understanding of deterministic on-chain logic, state transitions, and verifiable execution models.
• Tools: Proficiency in Rust, Anchor framework, Solana SDK, and Web3.js.
  Experience integrating smart contracts with web platforms and wallet providers.
• Skills: Ability to design and implement secure, optimized, and scalable smart contracts.
  Strong analytical and problem-solving skills, with attention to edge cases and security.
• Collaboration: Experience working with cross-functional teams (frontend, backend, product) to integrate blockchain logic into complex platforms.
• Testing & Security: Familiarity with smart contract testing, performance optimization, and security best practices on Solana.
• Passion: Interest in blockchain gaming, on-chain systems, and building trust-minimized architectures.
   

Key Responsibilities
 

• Blockchain Integration: Integrate Solana-based components into the gaming platform, including wallet interactions, on-chain logic, and state management.
• Smart Contracts: Design, develop, test, and deploy core smart contracts using Rust and Anchor that define platform behavior.
• On-Chain Logic: Implement deterministic, transparent, and verifiable on-chain mechanics that serve as the foundation of the platform.
• Web3 Integration: Collaborate with frontend developers to enable seamless wallet connections, transactions, and blockchain data presentation.
• Optimization & Testing: Ensure efficient, low-latency blockchain interactions while maintaining high standards of security, reliability, and scalability.
   

What We Offer
 

• Work on a technically ambitious blockchain gaming platform alongside an experienced product and engineering team.
• Fully remote work with a flexible schedule and a focus on outcomes, not hours.
• Opportunity to deepen expertise in Solana, smart contract design, and on-chain system architecture.
• High ownership and direct influence on core protocol logic and platform architecture.
• A long-term project with a clear technical roadmap and the opportunity to grow together with the platform over time.

We are looking for a Senior/Lead Computer Vision Engineer to design and build high-performance perception systems for autonomous platforms, robotics, and advanced navigation operating under strict real-time and hardware constraints.

You will shape the architecture, implementation, and optimization of the entire vision pipeline - from geometric processing and object detection to tracking, sensor fusion, and integration with control systems. This role is ideal for someone who can independently solve hard technical problems and deliver reliable systems on embedded hardware.
You will work directly on defense projects for Ukraine, seeing a short path from code implementation to field testing.

What We Offer

• The chance to design mission-critical autonomous vision systems.
• Direct contribution to defense projects for Ukraine.
• Collaboration with top experts in vision, robotics, and embedded systems.
• Ownership of key architectural and technical decisions.
• Competitive compensation based on experience.
• Temporary military service exemption for work on defense-critical projects.

Requirements

Core Technical Skills

• 10+ years commercial software development; 5+ years in CV/ML or robotics.
• Degree in Computer Science, Math, Physics, or similar.
• Proven record of successful design and implementation of real-time CV or control algorithms.
• Strong in:
  • Object detection & tracking, Kalman filtering, sensor fusion.
  • Camera calibration, multi-view geometry, 3D reconstruction.
  • SLAM / visual odometry.
  • Real-time control or optimal control algorithms.
• Expertise with PyTorch or TensorFlow.
• Embedded ML optimization: TensorRT, ONNX, quantization, pruning.
• Excellent C++14/17/20 and solid Python.
• Experience with:
  • NVIDIA Jetson, ARM SoCs.
  • Low-latency video pipelines: GStreamer, DeepStream.
  • OpenCV, linear algebra, numerical methods.
  • ROS/ROS2.
  • Building reliable real-time systems in challenging conditions.
• Ability to work independently with minimal supervision.

Responsibilities

• Architect and implement vision algorithms for autonomous platforms.
• Optimize CV/ML models for real-time performance on constrained hardware.
• Design and maintain low-latency camera pipelines (GStreamer, CUDA, DeepStream).
• Integrate vision with navigation, sensor fusion (IMU), and control systems.
• Perform camera calibration, geometric vision, and sensor alignment.
• Research and evaluate new algorithms to further improve accuracy, robustness, and performance.
• Participate in hardware/sensor selection and system architecture design.
• Ensure robustness, safety, and performance of deployed systems.
• Support field testing and system maintenance.

Nice to Have

• Experience with:
  • Night-vision cameras, infrared sensors.
  • Autonomous robotics, drones, UGVs, UAV/UGVs.
  • Multi-sensor fusion (Camera + IMU + LiDAR).
  • Real-time CV.
  • MLOps / deployment pipelines.
  • Experience with ArduPilot/PX4, MAVLink, or Betaflight integration.
  • Mission-critical or functional safety systems.
  • Web/cloud monitoring or remote telemetry tools.