Embedded Engineer
US$200,000 – US$220,000 / yr base salary
Posted 31 Aug 2026
Advertised as “Senior Embedded Engineer – Robotics & Sensor Systems”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4+ yrs
- Management level
- Individual contributor
- Employment
- On-Site
- Contract
- Full-time
| Base salary | US$200,000 – US$220,000 / yr |
|---|
Field of studyComputer Science, Electrical Engineering, Electronics, Robotics (or related)
Study levelBachelor's
About Us
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.
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.
Responsibilities
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Own and evolve the embedded Linux platform for SmartMast edge devices.
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Integrate and maintain sensor interfaces across cameras, radar, SDR, AIS, GPS/GNSS, and thermal systems.
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Build and maintain modular middleware and services (including ROS2-based components) for reliable inter-process and inter-sensor communication.
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Develop and optimize edge AI inference pipelines for detection, segmentation, and classification under real compute and bandwidth constraints.
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Design and improve edge-to-cloud data paths for latency, resilience, and efficient bandwidth usage in constrained maritime networks.
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Manage OTA update workflows for fleet-deployed devices, including staged rollout validation and rollback strategies.
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Debug production issues from field signals/telemetry, drive root-cause analysis, and ship durable fixes quickly.
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Partner closely with hardware, software, and operations teams to bring systems from lab to vessel deployment.
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Lead PTZ camera integration decisions spanning lens selection, sensor convergence/alignment, and stabilization tuning, and translate those tradeoffs into measurable improvements in edge ML performance (detection, classification, tracking robustness).