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Human Machine Teaming Jobs in California (NOW HIRING)

Autonomy testing and human-machine teaming * Rapid capability iteration with engineers and developers You will serve as a key operational test asset, providing real-world feedback that directly ...

Autonomy testing and human-machine teaming * Rapid capability iteration with engineers and developers You will serve as a key operational test asset, providing real-world feedback that directly ...

Autonomy testing and human-machine teaming * Rapid capability iteration with engineers and developers You will serve as a key operational test asset, providing real-world feedback that directly ...

AI Research Engineer

San Francisco, CA · On-site

$241K/yr

Enhancing human-AI collaboration and teaming by measuring human-AI interaction behaviors ... A passion for rethinking how people interact with machines across a range of real-world complex ...

AI Research Engineer

San Francisco, CA · On-site

$241K/yr

Enhancing human-AI collaboration and teaming by measuring human-AI interaction behaviors ... A passion for rethinking how people interact with machines across a range of real-world complex ...

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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.
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What cities in California are hiring for Human Machine Teaming jobs? Cities in California with the most Human Machine Teaming job openings:

Autonomous Warfare Technical Director with Security Clearance

LIBERTY ALLIANCE, Inc

Mountain View, CA • On-site

Other

Posted 5 days ago


Job description

We are seeking an experienced Autonomous Warfare Technical Director to lead the strategic development, technical execution, and integration of next-generation autonomous warfare capabilities supporting Defense Innovation Unit (DIU). The Technical Director shapes portfolio strategy, evaluates technologies and architectures, helps establish engineering standards, identifies and mitigates technical risks and hazards, and works directly with Program Managers, operators, program offices, and commercial engineering teams to execute these responsibilities.
The ideal candidate understands that successful demonstrations are not the same as deployable products. They look beyond nominal performance to reliability, edge cases, integration complexity, operator burden, sustainment, cybersecurity, manufacturing, and continuous improvement.
Technical Leadership Competencies:
• Independently evaluates complex systems and earns credibility with senior engineers. Assesses the full capability rather than isolated components.
• Prioritizes reliability, scalability, maintainability, and repeatable operational performance over impressive demonstrations. • Understands product development, engineering tradeoffs, technical roadmaps, capital constraints, and company incentives.
• Connects technical decisions to mission conditions, user behavior, and the consequences of failure. Duties and Responsibilities • Drives technical execution and shepherding of portfolio programs, takes active ownership of engineering milestones, design reviews, and technical blocker resolution to ensure the successful integration and delivery of autonomous warfare hardware, software, and enabling technologies. • Advise and oversee programs from problem definition and market assessment through testing, transition, and fielding. • Evaluate commercial systems and companies for technical maturity, reliability, differentiation, scalability, integration risk, and operational relevance. • Assess autonomy hardware and software stacks, including sensing, perception, localization, planning, control, communications, compute, data, safety, and human-machine interfaces. • Develop technical requirements, reference architectures, evaluation criteria, test approaches, data strategies, and transition standards. • Ensure testing produces credible evidence on performance, robustness, reliability, safety, usability, interoperability, and mission effectiveness. • Provide subject matter expertise in systems capabilities across land, sea, air, cyber, and space including robotics programs and technology, prototype development, and technology transition, including current and future remote sensing and C5ISR capabilities.
• Work closely with government partners and commercial vendors as a technical manager facilitating non-traditional and/or traditional vendor relationships throughout the prototype development lifecycle.
• Establish connections to academia and early-stage industry to ensure the remains abreast of capabilities that will most influence its direction.
• Lead system architecture for autonomous platforms, intelligent decision-support systems, and human-machine teaming solutions. Required Qualifications Education:
• Bachelor’s degree + 10 years of relevant experience; OR
• Master’s degree + 7 years of relevant experience; OR
• High School Diploma or equivalent and 15 years relevant experience. Skills and Experience:
• Deep expertise in autonomy, robotics, AI, or related fields. • Meaningful commercial or government experience developing and delivering autonomous or robotic products and capabilities. • Experience fielding production-grade systems that operate reliably outside of controlled environments.
• Strong technical judgment across perception, planning, control, communications, compute, data, platforms, and operators. • Experience defining requirements, designing tests, analyzing performance, and making evidence-based technical decisions. • Understanding of production engineering practices, including configuration management, continuous integration and continuous deployment (CI/CD), reliability, quality assurance, cybersecurity, release processes, risk management, and sustainment. • Ability to communicate effectively with engineers, operators, executives, acquisition professionals, and senior government leaders. • U.S. Citizenship is required. • Possession or the ability to obtain Top Secret (TS/SCI) security clearance.
• Ability to travel 30% of time.
• Location: Mountain View, CA Preferred Qualifications • Experience with unmanned systems, autonomous vehicles, industrial robotics, or other complex cyber-physical systems. • Previously a CTO, chief engineer, engineering director, technical product leader, principal roboticist, or similar role. • Expertise in collaborative autonomy, multi-agent coordination, distributed systems, or human-machine teaming. Deployment of autonomous systems in safety-critical, mission-critical, degraded, or communications-constrained environments. • Experience with simulation, synthetic data, hardware- or software-in-the-loop testing, and continuous verification. • Familiarity with modular open architectures, interoperability standards, data rights, and third-party integration. • Experience assessing manufacturing readiness, supplier quality, producibility, and scaling constraints. • Familiarity with DoW testing, safety, cybersecurity, certification, acquisition, or operational approval processes.