DoD Solution is a defence technology company building embedded AI and onboard computing platforms for unmanned systems operating in contested environments. We develop hardware and software that enable drones and robotic systems to navigate, perceive, and act when GPS is unavailable and electronic warfare is present.
11 листопада 2025 deftech бронювання

Lead Machine Learning Engineer (вакансія неактивна)

Львів

Location: On-site

Type: Full-time

Language Requirements: English (Ukrainian)

We are developing next-generation autonomy systems used by the Armed Forces of Ukraine. Your work will directly impact national defense capabilities and reshape the future of autonomous aerial warfare.

RESPONSIBILITIES

  • Lead and scale the Machine Learning (ML) team responsible for core autonomy components.
  • Design, train, and deploy real-time ML models for:

o Visual navigation and SLAM in GPS-denied environments

o Real-time object detection, classification, and tracking

o Target prioritization and engagement logic

  • Collaborate closely with hardware, avionics, and control systems teams
  • Develop simulation and synthetic data pipelines to train and test models
  • Optimize models for low-latency, low-power embedded hardware
  • Establish model evaluation, versioning, and deployment workflows
  • Drive research into cutting-edge applicable technology, signature analysis, signal spoofing resistance, and other

REQUIRED QUALIFICATIONS

  • 4+ years of experience in applied machine learning or computer vision.
  • Proven leadership experience in building and managing high-performing ML teams
  • Strong proficiency in Python, PyTorch/TensorFlow, and ML ops tools
  • Hands-on experience with real-time inference on edge devices (e.g., NVIDIA Jetson, ARM-based platforms, Rockchip)
  • Familiarity with aerial robotics, autonomous navigation, or defense-related ML systems
  • Experience with simulation environments (Gazebo, AirSim, CARLA, etc.).
  • Fluency in designing and implementing data collection strategies for supervised and reinforcement learning

PREFFERED QUALIFICATIONS

  • PhD or MSc in Computer Science, Robotics, Aerospace Engineering, or related field
  • Experience with sensor fusion (IMU, LiDAR, EO/IR cameras)
  • Knowledge of electronic warfare countermeasures and resilience techniques
  • Background in military UAV systems or embedded AI in tactical platforms

WHAT WE OFFER

  • The opportunity to shape a mission-critical defense technology from the ground up
  • A fast-paced result-oriented culture where decisions are driven by data and results
  • Competitive compensation
  • Access to state-of-the-art testing facilities, hardware, and simulation platforms
  • Direct impact on Ukraine’s national security and technological edge