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3 часа назад

Senior Embedded Linux / Platform Software Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Embedded Linux / Platform Software Engineer (AI): Building and maintaining an embedded Linux platform for NVIDIA Jetson-based maritime sensing devices with an accent on sensor integration, ROS2 middleware, edge AI inference, and resilient edge-to-cloud connectivity. Focus on optimizing detection, segmentation, and classification pipelines, managing OTA fleet deployments, and improving PTZ camera and sensor-fusion performance in demanding maritime environments.

Location: On-site in Arlington, Virginia, United States. Candidates must be authorized to work in the U.S.

Company

hirify.global builds the SmartMast maritime intelligence platform, combining HD video, AI, radar, RF sensing, and AIS for real-time maritime domain awareness.

What you will do

  • Own and evolve the embedded Linux platform running on NVIDIA Jetson edge devices deployed on vessels.
  • Integrate cameras, radar, SDR, AIS, GPS/GNSS, thermal, IMU, and weather sensors through reliable interfaces and middleware.
  • Build ROS2-based services for inter-process and inter-sensor communication.
  • Develop and optimize edge AI pipelines for detection, segmentation, and classification under compute and bandwidth constraints.
  • Design edge-to-cloud data paths and manage OTA updates, staged rollouts, rollbacks, and fleet operations.
  • Debug field telemetry and production issues, lead root-cause analysis, and coordinate deployment from laboratory systems to vessels.

Requirements

  • 4+ years of software development experience in robotics, electronics, or embedded systems.
  • Over 4 years of professional experience with Python, C++, and shell scripting.
  • Strong embedded Linux experience, especially Ubuntu, plus NVIDIA Jetson, CUDA, and Yocto experience.
  • Experience with ROS/ROS2, sensor and driver integration, networking, SSH/VNC, and remote debugging.
  • Experience with industrial PTZ network cameras, video streaming, sensor fusion, and visual AI/ML models.
  • Authorization to work in the United States and availability for on-site work in Arlington, Virginia.

Nice to have

  • Rust experience.
  • Experience with cloud infrastructure and ingestion services across AWS, Azure, or GCP.
  • Maritime, defense, autonomy, or other mission-critical deployment experience.
  • Deep expertise in PTZ lens and field-of-view tradeoffs, sensor convergence, stabilization, and their impact on ML accuracy.

Culture & Benefits

  • Work on complex embedded, AI, and real-world operational problems.
  • Contribute directly to maritime safety and security.
  • Take ownership in a fast-growing organization where high-quality work ships quickly.

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