Craig McCarthy

Engineering and product-development executive providing innovation governance with 24+ years advancing robotics, autonomy, and connected-hardware systems across ocean, industrial, and defense sectors. Proven record leading global teams (35+ engineers) and >$10 M portfolios to deliver safety-critical, AI-enabled, and sustainable technologies. Partnered with NOAA, ACOE, MIT, and Woods Hole to deploy real-world solutions improving reliability, automation, and compliance.

Recognized for transforming R&D into scalable products through digital-twin

CORE LEADERSHIP & TECHNICAL EXPERTISE

Automation & Reliability Strategy • Cross-Functional Team Leadership • Executive Stakeholder Alignment

Lean R&D & Innovation Pipelines • DFM / DFx • NPI Transfer • Global Manufacturing Partnerships

Autonomous & Robotic Systems • AI/ML Sensing & Predictive Maintenance • Digital-Twin Simulation

Systems Integration • Compliance (ISO 9001, USCG, DNV, ABS, NS 9415, MIL-STD) • Budget & P&L Oversight

SELECT EXECUTIVE HIGHLIGHTS

• Scaled engineering from 4 to 35 staff and cut delivery time by 60% through Agile hardware sprints, digital-workflow automation, and transparent reporting.
• Directed >$10 M annual portfolio integrating mechanical, electrical, controls, and software disciplines for autonomous systems.
• Reduced BOM costs by 40% and lifecycle expenses by 25% via lean R&D and supply-chain optimization.
• Lowered downtime by 25% and increased revenue by 30% by implementing predictive maintenance, just-in-time logistics, and integrated service contracts.
• Improved product reliability by 60% and drove 62% YoY sales growth through strategic product roadmapping and iterative design cycles.
• Delivered AI-driven vision systems in partnership with MIT and UNH for real-time biomass analysis and environmental monitoring.
• Inventor on 9 patents (2 pending) in robotics, autonomy, and secure infrastructure; built a company-wide IP and innovation culture.

B.S. Mechanical Engineering – Wentworth Institute of Technology

Project Management Professional (PMP) – Boston University

Continuing education in AI/ML, Robotics, Autonomy & Advanced Manufacturing