Teams at Quartermaster AI

Build and operate software for a distributed RF sensing platform spanning embedded Linux edge devices and cloud services. Develop hardware-aware Rust, C, or C++ applications, high-throughput IQ data pipelines, networking protocols, and large-scale cloud processing systems. Collaborate with RF, FPGA, and DSP engineers, support device provisioning and remote releases, troubleshoot field deployments, and translate customer needs into deployed technical solutions.

Lead multidisciplinary RF sensing programs from roadmap and prototype through production and field deployment. Coordinate hardware, embedded software, manufacturing, suppliers, contractors, customers, and internal teams. Manage schedules, risks, requirements, procurement, production readiness, testing, certification, and field support while contributing technical judgment to RF and systems decisions. Build teams, define partner scopes, and align customer commitments with engineering delivery.

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.