Senior Embedded Linux Engineer

QUARTERMASTER, LTD.
New York, NY, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$210,000.0 - $250,000.0
Working hours
Shift work
Job source

Tech stack

Artificial Intelligence C++ (Programming Language) Nvidia CUDA File Systems Linux on Embedded Systems Middleware Global Positioning Systems (GPS) Inter-Process Communication Python (Programming Language) Linux Kernel Log Analysis Mesh Networking
+13 more
Networking Basics Packet Analyzer Signal Processing System Software TCP/IP Virtual Local Area Networks Datadog Cloud Platform System Yocto Iptables TensorRT Decoding Aws Iot

Job description

The SmartMast is a sophisticated, vessel-mounted edge computing platform running a dense software stack on NVIDIA Jetson hardware in maritime environments: salt air, vibration, intermittent connectivity, and real operational pressure. We need a Senior Embedded Linux / Platform Software Engineer who can own the software that runs at the tip of our spear. You will build and maintain the embedded Linux platform that integrates HD cameras, radar, SDR, AIS receivers, GPS, and thermal sensors into a unified, AI-capable sensing system. You will work at the intersection of hardware bringup, ROS2-based sensor middleware, edge inference pipelines, and the cloud connectivity layer that gets data from the vessel to our analysts in near real time. This is complex, meaningful work, and it ships to sea., * 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.

Requirements

  • 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.

Bonus Points:

  • 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 & conditions

4.14.1 out of 5 stars New York, NY Remote $210,000 - $250,000 a year - Full-time, Pulled from the full job description

  • Flexible schedule, * Start-up atmosphere with autonomy given to engineers
  • In office and flexible hours
  • Open to remote

Compensation Range: $210K - $250K

About the company

Quartermaster is building the world’s most comprehensive maritime intelligence platform. Our SmartMast system transforms commercial and civilian vessels into a persistent, distributed sensing network-combining HD video, AI, radar, RF sensing, and AIS to deliver real-time maritime domain awareness at global scale. With 600+ sensors deployed across 25+ countries and more than 400,000 vessels identified outside of AIS, we are setting a new standard for what ocean surveillance and safety can look like. We are a mission-driven, high-velocity team building dual-use technology for defense agencies, coast guards, and commercial maritime operators.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

7:40 min

In-vehicle infotainment systems and graphical functional safety validation

Denis Grahovac · WWC 2021

1:19 min

Advancing autonomous driving capabilities with specialized software talent

Katrin Lehmann Katrin Lehmann +1 · Coffee With Developers

4:46 min

Diagnosing silent SSL handshake failures on legacy microcontrollers

Developersteve · LIVE

5:02 min

Mapping distributed compute paradigms to modern vehicles

Joachim Werner · LIVE

2:37 min

Example technology stack for robotics software development

Falk-Moritz Schaefer · WWC 2022

3:51 min

Technical skills and collaborative mindsets for mobility engineering roles

Georg Kühberger +1 · LIVE

Videos

See all

Related articles

See all