Senior Advisor, Human-Machine Teaming

Job description

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. About Anduril Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built, and fielded. Anduril’s products are software-first, autonomous, and powered by Lattice OS—an intelligent software platform that turns thousands of disparate sensors and systems into a unified operational picture. The Role The Senior Advisor, Human-Machine Teaming sits at the critical intersection of frontline operations, engineering, and military science. As autonomous systems, distributed sensor networks, and intelligent weapons are fielded across contested domains, understanding how warfighters interact with, trust, and employ autonomous systems under stress is vital to mission success. In this role, you will lead the applied research through systematic collection and operational analysis of user-operator feedback across global test events, training pipelines, and forward-deployed environments. You will bridge the gap between frontline operational reality (drawing from modern operational doctrines and special operations tactics) and cutting-edge academic inquiry into Human-Machine Teaming (HMT). Your contributions will consist of validated research findings, actionable recommendations, and demonstrated improvements in operator or system performance. Those insights will directly steer Anduril’s training design, accelerate product iteration cycles, and establish Anduril as a thought leader in the employment of autonomous systems in modern conflict. What You’ll Do • Lead Operational Data Collection & Field Research: Design and execute structured qualitative and quantitative field research protocols to capture operator experiences, cognitive load, trust dynamics, and human-machine teaming performance during live exercises, operational deployments, and training evolutions. • Frontline Operational & Training Insights: Embed alongside customer units and Anduril field teams globally to capture ground-truth operational feedback, identifying friction points in doctrine, system utilization, and training delivery. • Inform Training & Product Architecture: Translate operational data into actionable requirements for training curriculum developers, UX/UI designers, and software/hardware product managers to iteratively refine Lattice OS and hardware interfaces. • Publish White Papers & Thought Leadership: Synthesize empirical operational findings into rigorous internal analyses and public-facing white papers, driving military doctrine development, CONOPs modernization, and industry dialogue regarding autonomy in contested environments. • Lead Internal Communications for Global Train & Advise: Own and streamline operational knowledge transfer across the global Train & Advise footprint. Author executive summaries, field intelligence digests, and operational post-mission reviews to ensure distributed teams and executive stakeholders maintain real-time visibility into operator trends. • Bridge Operational Rigor and Academic Defense Science: (SOF/Academic Aligned) Develop operational frameworks that translate intuitive warfighter behaviors into empirically measurable data points, validating new CONOPs for autonomous swarms, collaborative combat systems, and distributed C2. • Engage Defense & Research Ecosystems:</stron