Senior Embedded Linux Engineer

🕒 il y a 1 mois

⚔️ Virginia – Distant

⚔️ Virginia – Remote

💵 $210 000 - $250 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

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Quartermaster

Site WebLinkedInTous les Emplois

1 - 10 employés

Fondée en 2023

📦 Logistique

🏭 Fabrication

🎖️ Défense

Logistics • Manufacturing • Defense

Quartermaster AI est une entreprise qui construit un réseau de détection maritime évolutif et distribué, transformant les navires civils et commerciaux en une couche persistante de renseignement maritime. Elle combine des vidéos HD montées sur les navires, la géolocalisation, des liaisons satellites sécurisées et une intelligence artificielle multimodale pour détecter, identifier et signaler les navires et les comportements suspects en temps réel, tout en préservant des preuves authentifiées pour la prise de décision et les enquêtes. Le service inclut un tableau de bord pour le suivi en direct et la surveillance, conçu pour les opérateurs ayant besoin d'une visibilité maritime améliorée et de renseignements vérifiés.

Description

• Develop, maintain, and improve the embedded Linux software stack running on Jetson Orin NX and AAEON edge compute hardware aboard SmartMast units. • Build and integrate ROS2 nodes and packages for multi-sensor orchestration, including EO cameras (Axis), radar, SDR, AIS, GPS, and thermal imagers. • Design and maintain OTA software and firmware update pipelines (AWS IoT Jobs or Mender-based) that reliably deploy to a globally distributed fleet. • Develop sensor driver integrations and calibration routines; ensure co-collection timing and synchronization across heterogeneous sensor modalities. • Optimize AI inference pipelines running on-device (Jetson TensorRT, CUDA), balancing detection quality against power and thermal constraints. • Build and maintain the secure connectivity layer between SmartMast units and the cloud: Starlink backhaul, Peplink networking, local mesh between units. • Design for reliability in denied, degraded, and intermittent connectivity environments—buffering, store-and-forward, graceful reconnection. • Instrument the edge stack with observability tooling; triage and resolve field-reported issues from units deployed at sea. • Collaborate with the Hardware, Cloud Platform, and AI/ML teams to define clear interfaces across the full system stack.

🎯 Exigences

• 5+ years of embedded Linux or platform software engineering experience on production systems, not just prototype work. • Strong command of C++ and Python; deep familiarity with Linux internals (kernel drivers, systemd, networking stack, file systems). • Hands-on experience with the Yocto Project build framework for creating custom embedded Linux distributions, layers, and recipes. • Hands-on experience with ROS or ROS2 for sensor integration and inter-process communication on robotic or autonomous systems. • Experience with NVIDIA Jetson platforms (Nano, Xavier, Orin) or comparable edge AI hardware; familiarity with TensorRT and CUDA inference optimization. • Solid networking fundamentals: TCP/IP, VLAN configuration, firewall policy (iptables/nftables), and experience with Peplink or similar industrial routers. • Experience building or operating OTA update systems for embedded fleets; understanding of rollback, A/B partitioning, and safe deployment practices. • Ability to read hardware schematics and collaborate closely with electrical/hardware engineers during bringup and integration. • Strong debugging skills across hardware-software boundaries: serial consoles, logic analyzers, packet captures, and field log analysis.

🏖️ Avantages

• Offers Equity