Senior Advisor, Human-Machine Teaming

Anduril • Costa Mesa, CA

8d

About The Position

The Senior Advisor, Human-Machine Teaming works at the intersection of frontline operations, engineering, and military science to study how warfighters interact with, trust, and employ autonomous systems under stress. The role leads applied research through systematic collection and operational analysis of operator feedback across global test events, training pipelines, and forward-deployed environments, bridging operational experience and academic inquiry into Human-Machine Teaming (HMT). The position produces validated findings, actionable recommendations, and demonstrated improvements in operator or system performance that inform training design, product iteration, and the employment of autonomous systems in modern conflict.

The advisor embeds alongside customer units and Anduril field teams around the world, designs qualitative and quantitative research protocols, and translates findings into requirements for training developers and product teams. The role also produces internal analyses and public-facing white papers, supports doctrine and CONOPs modernization, and manages operational knowledge transfer across Anduril’s global Train & Advise footprint. It engages defense research organizations and academic stakeholders to benchmark operational insights against emerging military theory. The role requires up to 50% global travel and an active U.S. Secret clearance; Top Secret/SCI is preferred or the candidate must be eligible.

Requirements

• Substantial experience working with or as part of Special Operations Forces (SOF) or specialized expeditionary units, including distributed operations, tactical mission planning, and high-stress operational execution.
• Master’s degree or Ph.D. (or equivalent demonstrated publication track record) in Security Studies, Defense Analysis, Cognitive Science, Military Science, Human Systems Integration, or a related field focused on emerging technologies and autonomy in modern warfare.
• Experience designing mixed-method research frameworks, including structured interviews, ethnographic observation, cognitive workload evaluation, and operational telemetry correlation in austere or time-sensitive field environments.
• Track record authoring white papers, field studies, or peer-reviewed operational analyses that connect technical concepts with real-world military tactics.
• Ability to communicate effectively with both tactical operators and software/hardware engineers.
• Willingness to travel up to 50% globally.
• Active U.S. Secret clearance; Top Secret/SCI clearance preferred or eligibility for it.

Nice To Haves

• Prior experience evaluating or designing curriculum for un-crewed platforms such as sUAS, C-UAS, UUVs, or counter-autonomous systems.
• Familiarity with human-in-the-loop (HITL), human-on-the-loop (HOTL), and autonomous C2 software architectures.
• Experience running experiments or operational assessments alongside military test organizations such as USSOCOM S&T, Service Warfighting Labs, or operational test squadrons.

Responsibilities

• Design and execute structured qualitative and quantitative field research to capture operator experience, cognitive load, trust dynamics, and human-machine teaming performance during live exercises, deployments, and training.
• Embed alongside customer units and Anduril field teams globally to collect operational feedback and identify friction in doctrine, system use, and training delivery.
• Translate operational research into actionable requirements for training curriculum developers, UX/UI designers, and software and hardware product managers.
• Synthesize empirical findings into internal analyses and public-facing white papers that support doctrine development, CONOPs modernization, and industry dialogue on autonomy in contested environments.
• Lead operational knowledge transfer across the global Train & Advise footprint by authoring executive summaries, field intelligence digests, and post-mission reviews.
• Develop operational frameworks that make warfighter behaviors empirically measurable and validate CONOPs for autonomous swarms, collaborative combat systems, and distributed command and control.
• Engage defense science stakeholders, research labs, military experimentation offices, and academic think tanks to benchmark operational insights against emerging military theory.

Benefits

• Highly competitive equity grants are included in the majority of full-time offers.
• Top-tier benefits package, described as comprehensive and competitive and available at little to no cost to employees.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior