Note: The job is a remote job and is open to candidates in USA. Quartermaster is building the world's most comprehensive maritime intelligence platform. They are seeking a Senior Embedded Linux Engineer to develop and maintain the embedded Linux software stack for their SmartMast system, which integrates various sensors into a unified, AI-capable sensing system.

Responsibilities

• 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

Skills

• 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
• Experience with SDR platforms (USRP, RTL-SDR, or similar) and RF signal processing pipelines
• Background in maritime, defense, or other field-deployed, environmentally hardened systems
• Familiarity with AIS protocol decoding, radar data formats, or NMEA message handling
• Experience with mesh networking protocols (802.11s, BATMAN, or custom implementations) for inter-unit communication
• Security experience: secure boot, device attestation, certificate management for field-deployed IoT devices

Benefits

• Offers Equity

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