Senior Embedded Engineer, Maritime Edge AI & Sensor Systems

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 running on SmartMast edge devices aboard maritime platforms. You will integrate multiple sensors (cameras, radar, AIS, GPS) and build a unified AI-capable sensing system, bridging lab and sea deployments.

You will work at the intersection of hardware bring‑up, ROS2-based middleware, and cloud connectivity, delivering real-time data to analysts and ensuring robust OTA updates across a fleet.

Qualifications

• Strong embedded Linux engineering experience in production environments.
• Proven sensor integration experience across multiple hardware interfaces and data streams.
• Strong software engineering fundamentals and robust development practices at scale (testing, observability, reliability, maintainability).
• Professional experience in Python, C++, and shell scripting.
• Experience with NVIDIA Jetson or similar edge compute platforms.
• Experience working in fast-moving, cross-functional teams with high ownership expectations.

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 (detection, classification, tracking robustness).

Skills

Python

C++

ROS/ROS2

Linux (Ubuntu)

NVIDIA Jetson

Edge AI

Cloud (AWS/Azure/GCP)

Git

Education

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

Tools

YOCTO

CUDA

AWS

Job description

Quartermaster is seeking a Senior Embedded Linux / Platform Software Engineer to own the software running on SmartMast edge devices aboard maritime platforms. You will integrate multiple sensors (cameras, radar, AIS, GPS) and build a unified AI-capable sensing system, bridging lab and sea deployments.

You will work at the intersection of hardware bring‑up, ROS2-based middleware, and cloud connectivity, delivering real-time data to analysts and ensuring robust OTA updates across a fleet.