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Senior Embedded Engineer

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Senior Embedded Engineer in USA

  • Quartermaster
  • Full time
  • Email
  • Arlington, VA

Responsibilities

  • Own and evolve the embedded Linux platform for SmartMast edge devices.
  • Integrate cameras, radar, SDR, AIS, GPS/GNSS, thermal sensors, and related hardware interfaces.
  • Build and maintain ROS2-based middleware and services for inter-process and inter-sensor communication.
  • Develop and optimize edge AI inference pipelines for detection, segmentation, and classification.
  • Design resilient edge-to-cloud data paths for constrained maritime networks.
  • Manage OTA update workflows, staged rollouts, rollback strategies, and fleet-deployed devices.
  • Debug production issues using field telemetry, perform root-cause analysis, and deliver durable fixes.
  • Partner with hardware, software, and operations teams to move systems from laboratory testing to vessel deployment.
  • Lead PTZ camera integration decisions involving lens selection, sensor convergence, alignment, and stabilization tuning.

Requirements

  • Bachelor’s degree in Computer Science, Robotics, Electronics, Electrical Engineering, or a related field.
  • At least 4 years of software development experience in robotics, electronics, or embedded systems.
  • More than 4 years of professional proficiency in Python, C++, and shell scripting; Rust is a bonus.
  • Strong production embedded Linux experience, particularly with Ubuntu.
  • Experience with NVIDIA Jetson or similar edge computing platforms, CUDA, and Yocto.
  • Experience with ROS or ROS2, sensor integration, device drivers, industrial PTZ network cameras, and video streaming.
  • Hands-on experience with sensor fusion across radar, EO/IR, and positioning data, including Kalman/EKF, particle filters, or learned approaches.
  • Experience developing and deploying AI/ML models for visual detection, segmentation, and classification.
  • Experience with OTA update systems, device fleet management, cloud ingestion infrastructure, and AWS, Azure, or GCP.
  • Solid networking fundamentals, remote debugging, SSH, and VNC experience.
  • Experience with GPS, IMU, cameras, radar, thermal or weather sensors, and related hardware interfaces is required or preferred.
  • Maritime, defense, autonomy, or other mission-critical deployment experience is preferred.
  • Must be authorized to work in the United States.

Benefits

  • Work on technically challenging embedded, AI, and real-world operational problems.
  • Direct mission impact in maritime safety and security.
  • High ownership and growth opportunities in a fast-growing organization where work ships quickly.

Quartermaster

Quartermaster AI is building the world's largest maritime awareness network on the planet.

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