1

Human Machine Teaming Jobs (NOW HIRING)

Champion human-machine teaming principles throughout the software development lifecycle -- ensuring technology decisions are grounded in how real users think, decide, and act. * Evaluate and guide ...

Business Analyst

New York, NY · On-site

$100K - $110K/yr

People are essential for all of our human-machine teaming solutions, as they serve as the final firewall for accuracy and quality. About the role Makai Labs is seeking a talented and highly adaptable ...

Also, using LLM/GAI solutions for usage in human-machine teaming for Software Development * Familiarity with Linux operating systems. Preferred Qualifications: * Experience in Engineering and ...

Familiarity with embodied AI, including vision-language-action models, spatial reasoning, robotics, autonomous systems, reinforcement learning, and human-machine teaming. * Working knowledge of ...

Showing results 41-60

Human Machine Teaming information

What is human machine teaming?

Human Machine Teaming refers to the collaboration between humans and artificial intelligence (AI) systems, robots, or other machines to achieve shared goals. This partnership leverages the complementary strengths of humans—such as creativity, judgment, and adaptability—and machines, which excel at processing large amounts of data quickly and performing repetitive tasks. The goal is to improve decision-making, efficiency, and outcomes in various industries, including defense, healthcare, manufacturing, and more. Effective human machine teaming requires thoughtful design of interfaces, clear communication protocols, and ongoing training for both humans and machines to work together seamlessly.

What skills and qualifications are needed for human machine teaming?

To thrive as a Human-Machine Teaming Specialist, you need expertise in human factors engineering, systems integration, and data analysis, often supported by a background in computer science, engineering, or cognitive psychology. Familiarity with AI platforms, machine learning tools, and human-computer interaction (HCI) frameworks is typically required. Strong collaboration, problem-solving, and communication skills help bridge the gap between human users and advanced technologies. These capabilities are crucial to designing seamless interactions, ensuring safety, and optimizing the joint performance of human and machine teams.

What are common challenges in human machine teaming and how can they be addressed?

Professionals in Human Machine Teaming often encounter challenges such as balancing effective communication between humans and AI systems, ensuring trust in automated processes, and integrating new technologies into existing workflows. Addressing these challenges requires continuous learning, active collaboration with multidisciplinary teams, and clear communication of complex technical concepts to non-technical stakeholders. Regular training, user feedback loops, and staying updated on advancements in AI and human factors engineering can help professionals navigate and overcome these obstacles successfully.
More about Human Machine Teaming jobs

What cities are hiring for Human Machine Teaming jobs?

Cities with the most Human Machine Teaming job openings:

What states have the most Human Machine Teaming jobs?

States with the most job openings for Human Machine Teaming jobs include:

What job categories do people searching Human Machine Teaming jobs look for?

The top searched job categories for Human Machine Teaming jobs are:

Infographic showing various Human Machine Teaming job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, 1% Temporary, and 3% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Distinguished Flight Controls Engineer

University of Dayton

Dayton, OH • On-site

Full-time

Re-posted 23 hours ago


Key responsibilities

  • Lead the conception, development, integration, and maturation of autonomous flight control solutions for multi-vehicle systems.

  • Provide technical oversight, strategic direction, and mentorship to project teams working on autonomous flight control technologies.

  • Coordinate, synchronize, and manage mission-level operations of heterogeneous unmanned aerial vehicles.


University Of Dayton rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

102nd of 629 rated colleges and universities


Job description

Distinguished Flight Controls Engineer
Job No: 503695
Work Type: Staff Full Time (1500 hours or greater)
Location: Dayton, OH
Category: Research Institute Staff
Department: UAS & Embedded Systems - 250651
Pay Grade: R5 - Exempt
Advertised: July 06, 2026
Applications close:
Position Summary:
Shape the next generation of autonomous flight control technologies.
The Distinguished Flight Controls Engineer serves as a senior technical leader and principal investigator responsible for advancing state-of-the-art autonomous flight control capabilities across a broad portfolio of multi-vehicle research and development efforts. This role leads the conception, development, integration, and maturation of practical autonomous solutions for coordinated groups of unmanned aerial vehicles, leveraging deep expertise in flight controls, guidance and navigation, cooperative autonomy, and robust control architectures.
This position's primary focus is on multi-vehicle autonomous controls, including the coordination, synchronization, and mission-level management of heterogeneous autonomous platforms. Work in this area spans advanced control theory, real-time decision systems, distributed computing, verification and validation of autonomous behaviors, and the integration of human-machine teaming principles.
As a technical authority, the Distinguished Engineer will provide strategic direction, technical oversight, and mentorship to project teams, ensuring the successful transition of autonomy technologies from research concepts to operationally viable capabilities. The role also requires proactively identifying, shaping, and advocating for new research initiatives and sustained investment in autonomy development across AFRL and partner organizations. This includes articulating technical vision, influencing internal and external stakeholders, and fostering collaborations across government, industry, and academia.
Through thought leadership, deep flight controls expertise, and cross-organizational engagement, this position will drive the next generation of UAV autonomy solutions and strengthen the broader autonomy research ecosystem.
Minimum Qualifications:
• Ph.D. in Flight Mechanics, Aerospace Engineering, Control Systems, or a closely related discipline.
• A minimum of 15 years of experience conducting research and development.
• Expertise in the design, analysis, and implementation of autonomous decision-making and control algorithms.
• Deep technical proficiency in flight control system design, verification, and real-time implementation.
• Experience with the Open Mission Systems (OMS) architecture and integration of autonomy components within OMS-compliant frameworks.
• Extensive hands-on experience planning, coordinating, and executing UAS flight test campaigns.
• Proven track record serving as a principal investigator, technical lead, or equivalent senior role on complex autonomy or flight control research programs.
• Ability to transition research concepts into fielded or operationally relevant capability demonstrations.
• Experience mentoring teams, providing technical direction, and shaping long-term research strategies.
• Strong written and oral communication skills, with the ability to articulate technical concepts to diverse audiences including leadership, collaborators, and external partners.
• Ability to collaborate across multidisciplinary teams involving controls, software, sensing, AI/ML, modeling and simulation, and human-machine teaming.
• Due to the requirements of our research contracts with the U.S. federal government, candidates for this position must be a U.S. citizen.
Preferred Qualifications:
While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:
• Demonstrated experience influencing technical direction, investment priorities, or research strategy within the U.S. Air Force, Department of Defense, or similar large-scale organizations.
• Experience developing, implementing, and maintaining Verification and Validation (V&V) tools, frameworks, or automated test environments for autonomous systems.
• Proven capability in designing, tuning, and integrating advanced autopilot systems for unmanned or autonomous aircraft.
• Established record of effective collaboration with diverse stakeholders across government agencies, industry partners, and contractor organizations.
• Experience planning, coordinating, and participating in integrated flight demonstrations, including multi-vehicle or autonomy-focused events.
• Active TS/SCI security clearance.
• Experience transitioning autonomy technologies to operational programs of record or field experimentation campaigns.
• Familiarity with digital engineering approaches, including high-fidelity modeling, simulation, and virtual test environments for autonomy.
• Experience leading or contributing to cross-organizational working groups, technical exchanges, or standards development related to autonomy or mission systems.
• Recognition as a technical expert through publications, invited talks, patents, or participation in advisory panels.
Special Instructions to Applicants:
To apply please submit a cover letter addressing each minimum qualification and any applicable preferred qualifications that you meet.
Closing Statement:
Informed by its Catholic and Marianist mission, the University is committed to the dignity of every human being. Informed by this commitment, we seek to increase diversity in all of its forms, achieve fair outcomes, and model inclusion across our campus community. The University is committed to policies of affirmative action designed to increase the employment opportunities of individuals with disabilities and protected veterans in compliance with the Rehabilitation Act of 1973 and Vietnam Era Veterans' Readjustment Assistance Act of 1973.
Whatsapp Facebook LinkedIn Email App

What University Of Dayton employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom