Senior Embedded Linux Engineer, Maritime AI & Edge Systems

Quartermaster

Virginia (MN)

On-site

USD 140,000 - 200,000

Full time

9 days ago

Application generator

An application made for this job — a tailored resume and cover letter that speak straight to the posting.

Get past ATS filters

Job summary

Quartermaster is building the world’s most comprehensive maritime intelligence platform. Our SmartMast system turns vessels into a persistent sensing network with cameras, AI, radar, RF sensing, and AIS for real-time maritime domain awareness at global scale.

We seek a Senior Embedded Linux/Platform Software Engineer to own the embedded Linux stack and sensor integration up to ship deployments. You will work at the intersection of hardware bringup, ROS2 middleware, edge inference pipelines, and

Qualifications

Bachelor’s degree in Computer Science, Robotics, Electronics, Electrical Engineering, or a related field.
4+ years of software development for robotics, electronics, and embedded systems.
Over 4 years of proficiency in Python, C++, and shell scripting. Rust is a bonus.
Solid experience with Linux, particularly the Ubuntu flavor.
Experience with robotics frameworks such as ROS/ROS2.
Experience in mobile/embedded platform development, specifically with NVIDIA Jetson, CUDA, and Yocto.
Familiarity with various sensors and hardware, including GPS, IMU, cameras, Radar, and weather sensors, as well as driver development for these devices.
Experience with industrial PTZ network cameras and video streaming technologies.
Hands-on experience with sensor fusion techniques (Kalman/EKF, particle filters, or learned fusion approaches).
Expertise in developing and deploying AI/ML models for visual tasks (detection, segmentation, classification).
Experience with OTA update systems and fleet management at scale.
Experience working with cloud infrastructure such as AWS, Azure, and GCP, including cloud-native ingestion services.
Solid networking fundamentals and debugging experience.
Experience with remote access protocols like SSH and VNC.
Problem-solving mindset; flexibility in a dynamic environment.

Responsibilities

Own and evolve the embedded Linux platform for SmartMast edge devices.
Integrate 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.