Teams at Quartermaster AI

Designs, develops, and validates rugged electrical subsystems for maritime edge-sensing platforms. Responsibilities include schematic capture, multilayer PCB layout, power delivery, sensor and peripheral integration, PCB fabrication oversight, board bring-up, troubleshooting, environmental validation, signal integrity, reliability engineering, enclosure and harness collaboration, and technical documentation. The role partners with mechanical, software, systems, and AI teams to deliver production-grade hardware for harsh marine deployments.

Own application security across cloud services, APIs, data pipelines, and edge-deployed applications. Lead threat modeling, secure design reviews, code reviews, vulnerability assessments, and remediation. Build CI/CD security tooling, automation, and secure-by-default developer frameworks while maturing the SDLC, supply-chain security, vulnerability disclosure, and bug bounty processes. Partner with engineering and security operations, provide incident expertise, and deliver developer security training.

Design, train, and deploy machine learning and perception models for edge-intelligent maritime systems. Optimize inference pipelines for embedded hardware, develop datasets and labeling strategies, support computer vision, signal processing, and sensor-fusion experiments, and build real-time on-device and cloud data pipelines. Create benchmarking and debugging tools, evaluate emerging ML research, and collaborate across hardware, software, and product teams to deliver robust production AI solutions.