Jobs at Quartermaster AI

The Full Stack Software Engineer will develop and maintain web and mobile applications, leveraging both frontend and backend technologies, ensuring scalable solutions and high performance.

Design, train, and deploy machine learning models for RF signal detection, classification, and vessel activity tracking in maritime intelligence.

The Senior Accountant manages monthly close processes, cost tracking, balance sheet reconciliations, and AP/AR operations while ensuring GAAP compliance.

The General Counsel will lead legal, regulatory, and compliance functions, negotiate contracts, manage intellectual property, and advise the executive team on various legal matters.

Looking for a Front-End Engineer to create user-friendly interfaces for a web portal and mobile app, optimize code, and collaborate with teams.

The RF Test and Calibration Engineer will establish calibration capabilities, build test infrastructure, and lead the calibration and validation of RF system components.

Analyze RF signal data to create structured datasets for machine learning, collaborating with DSP and ML teams to improve labeling standards.

Design and develop SDR-based subsystems for maritime sensing, including schematic development, PCB layout, integration, and validation of RF hardware.

Build and maintain distributed AWS cloud services and device management systems to ingest, process, and route high-volume sensor streams from a global fleet. Develop OTA deployment pipelines, design for intermittent connectivity, collaborate with edge teams on APIs/protocols, improve reliability and latency, participate in architecture and code quality practices, and mentor junior engineers.

Translate high-fidelity designs into production-ready, performant UI components and design systems (React/TypeScript). Prototype data visualizations and map interfaces, enforce accessibility (WCAG), iterate from operator feedback, and build tooling to streamline design-to-development workflows for maritime and defense customers.

Design and operate scalable, fault-tolerant data pipelines and platforms to ingest, normalize, enrich, and serve high-volume maritime sensor data. Lead CAI data modeling, enable coverage analytics, build backend tooling/APIs, ensure data observability, optimize performance for geospatial workloads, and mentor engineers while driving the data roadmap and production-grade standards.

Owner of the embedded Linux platform on NVIDIA Jetson-based edge systems. Integrate and maintain ROS2 sensor nodes, develop drivers, OTA pipelines, on-device AI inference (TensorRT/CUDA), networking and secure connectivity, ensure reliability in maritime environments, and triage field issues while collaborating across hardware, cloud, and AI teams.

Responsible for crafting narratives about AI and maritime technology, authoring briefs, managing media requests, and ensuring technical accuracy in messaging to various stakeholders.

Drive domestic and international business development for maritime AI/robotics products; identify, qualify, negotiate and close opportunities with US government and commercial partners; support proposals (RFIs/RFPs/white papers), partner with engineering and program teams to grow accounts, optimize sales processes, and maintain awareness of acquisition pathways (OTAs, MTA, SBIR/STTR, IDIQ).

The Procurement Coordinator will manage sourcing and procurement processes, track purchase orders, oversee inventory management, coordinate shipments, and develop procurement processes while liaising with engineering teams and stakeholders.