Senior Embedded Engineer: Maritime Sensing & Edge AI

Quartermaster; Arlington (VA); On-site; USD 140,000 - 190,000; Full time

Job summary

Quartermaster is seeking a Senior Embedded Linux / Platform Software Engineer to own the software at the tip of our SmartMast edge platform. You will build and maintain the embedded Linux stack that integrates cameras, radar, AIS, GPS, and thermal sensors into a unified, AI-enabled sensing system.

You’ll operate at the intersection of hardware bring-up, ROS2-based middleware, edge inference pipelines, and the cloud connectivity layer to deliver near real-time data to analysts, with deployments

Qualifications

• Bachelor's degree in CS/Robotics/Electronics or related field.
• 4+ years in software development for robotics, embedded systems.
• Proficiency in Python, C++, and shell scripting; Rust a bonus.
• Strong Linux (Ubuntu) experience.
• Experience with ROS/ROS2.
• Experience with NVIDIA Jetson, CUDA, Yocto.
• Familiar with sensors: GPS, IMU, cameras, Radar, weather sensors.
• Experience OTA updates and fleet management.

Responsibilities

• Own and evolve the embedded Linux platform for SmartMast edge devices.
• Integrate and maintain sensor interfaces across cameras, radar, SDR, AIS, GPS/GNSS, and thermal systems.
• Build and maintain modular middleware and services (including ROS2-based components) for reliable inter-process and inter-sensor communication.
• Develop and optimize edge AI inference pipelines for detection, segmentation, and classification under real compute and bandwidth constraints.
• Design and improve edge-to-cloud data paths for latency, resilience, and efficient bandwidth usage in constrained maritime networks.
• Manage OTA update workflows for fleet-deployed devices, including staged rollout validation and rollback strategies.
• Debug production issues from field signals/telemetry, drive root-cause analysis, and ship durable fixes quickly.
• Partner closely with hardware, software, and operations teams to bring systems from lab to vessel deployment.
• 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.

Skills

Embedded Linux

ROS/ROS2

Python

C++

Shell scripting

NVIDIA Jetson

CUDA

Sensor integration

Edge AI

Education

Bachelor's degree in Computer Science, Robotics, Electronics, or related field

Tools

NVIDIA Jetson

ROS2

Yocto

CUDA

Git

Job description

Quartermaster is seeking a Senior Embedded Linux / Platform Software Engineer to own the software at the tip of our SmartMast edge platform. You will build and maintain the embedded Linux stack that integrates cameras, radar, AIS, GPS, and thermal sensors into a unified, AI-enabled sensing system.

You’ll operate at the intersection of hardware bring-up, ROS2-based middleware, edge inference pipelines, and the cloud connectivity layer to deliver near real-time data to analysts, with deployments