Edge Support Engineer

Quartermaster

1d • Remote

About The Position

Quartermaster aims to close intelligence blindspots across the world's oceans by transforming maritime fleets into a persistent sensing layer. This is achieved by deploying advanced edge-compute nodes equipped with high-definition cameras, Software Defined Radios (SDRs), and edge AI processors, all backhauled via Starlink. The company operates in remote environments, processing massive amounts of RF and visual data at the edge to deliver real-time maritime domain awareness. The Edge Support Engineer will be responsible for supporting the configuration and activation of this sensor fleet. This involves remote setup and continuous operation of complex, distributed systems, activating newly installed sensors, configuring cameras and SDRs, and remotely diagnosing and fixing critical issues to integrate new nodes into the global intelligence network.

Requirements

• Deep, hands-on expertise in Linux systems administration, bash scripting, and systemd, including debugging headless machines.
• Strong fundamental knowledge of TCP/IP, NAT traversal, VPNs, routing, and dealing with the quirks of satellite/CGNAT networks, including network troubleshooting.
• Proven experience running containerized workloads (Docker, K3s, IoT edge runtimes) in resource-constrained environments.
• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
• 3–8+ years of experience in systems administration, field engineering, technical support engineering, or distributed systems operations.
• Demonstrated ability to troubleshoot hardware–software integration issues and operate systems in unreliable environments (intermittent power or connectivity).
• Must be eligible to obtain/maintain a security clearance.

Nice To Haves

• Familiarity with managing video streaming pipelines (RTSP, WebRTC, GStreamer, ffmpeg).
• Experience working with Software Defined Radios, GNU Radio, or processing RF telemetry.
• Knowledge of maritime protocols like AIS (Automatic Identification System) or NMEA data.
• Active US Security Clearance.

Responsibilities

• Remotely configure edge nodes, activate Starlink connections, and calibrate cameras and SDRs immediately after physical installation.
• Act as the escalation point for edge node health, independently debugging Linux systems, container crashes, and hardware-software integration issues from thousands of miles away.
• Serve as the critical bridge between field technicians, backend engineers ingesting data, and the AI team deploying edge models.

Benefits

• Mission-Critical Impact: Your contributions will directly secure the world’s oceans, powering real-time intelligence for safety and defense.
• Unique Technical Challenges: Solve novel problems involving hardware, RF, video AI, and satellite networks.
• Startup Agility: A high-autonomy environment with competitive compensation, equity, and the opportunity to define our engineering culture.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level