Arcfield
Lead Edge AI/ML Engineer
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Job Description
Arcfield Overview: STC, a wholly owned subsidiary of Arcfield, was founded to do systems engineering differently. As an industry-leading solutions provider in digital engineering and model-based systems engineering (MBSE), the company delivers MBSE-as-a-Service, integrated digital engineering environment deployments, training and consulting to both commercial and public sector customers. Every day, STC’s team of expert engineers are unleashing the power of digital engineering to navigate complexity, increase understanding and inform decision-making. Learn more at stc.arcfield.com. Responsibilities: THIS POSITION IS FOR STRATEGIC TECHNOLOGY CONSULTING (STC), AN ARCFIELD COMPANY
Strategic Technology Consulting (STC), an Arcfield Company, is seeking a Lead Edge AI / Machine Learning Engineer to lead the design, optimization, and deployment of advanced AI/ML capabilities for SWaP-constrained tactical edge systems operating in contested environments. This role will lead the development of onboard AI/ML capabilities that improve resilient PNT performance through RF signal classification, IMU drift modeling, anomaly detection, and advanced sensor fusion. The engineer will also develop autonomous monitoring capabilities that track system health, thermal conditions, data integrity, sensor status, and software performance, enabling the system to detect issues, diagnose problems, and take corrective action when failures occur. The ideal candidate will bring deep experience moving AI/ML beyond prototype environments and into real-time embedded systems, with expertise in model optimization techniques such as quantization, pruning, and efficient inference, as well as the ability to deploy production-quality models into C++ based embedded architectures. This role requires close collaboration with PNT, embedded software, hardware integration, and systems engineering teams to deliver deployable AI-enabled capabilities that preserve mission continuity without relyi...
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