As a Human Factors Engineer, you will work on real-world projects focused on manned-unmanned teaming (MUM-T) concepts that impact the design, operation, interaction, management, and analysis of intelligent unmanned aerial systems. You will work alongside a team of passionate and driven engineers, user experience (UX) designers, product managers as well as interact with subject matter experts (SMEs) in unmanned systems operations. Join our team and shape the future of artificially intelligent systems.
What You'll Do:
Review and select human factors methodologies; adapt and apply them to the design and evaluation of our products
Conduct field research using ethnographic methods and cognitive task analysis to develop and validate system requirements
Contribute to use case, user stories and scenario development that drive product design processes
Collaborate with UX designers to create and review impactful human-machine interface designs and prototypes
Advocate for human perceptual and cognitive considerations as they apply to sense-making and decision-making tools
Ensure compliance with customer human factors standards
Present interface designs and prototypes to multiple audiences for feedback and/or handoff
Conduct testing in order to approve software features and releases
Prepare test plans that collect quantitative and qualitative data in modeling and simulation contexts as well as live flight tests
Recommend and write requirements for human-machine interface instrumentation that provides improved insights to user interactions
Review and provide feedback on technical documentation and systems engineering documentation
Conduct literature reviews and create written summaries and briefings containing recommendations for our products
Travel to company, test, and customer locations to conduct project work
Required Qualifications:
A Ph.D. in a relevant field (human factors engineering/psychology, cognitive systems engineering, integrated systems engineering, applied cognitive science, information science, or related discipline) with 4 years of experience, or a Master’s degree with 6 years of experience.
Prior experience in a multidisciplinary setting
Prior experience developing and executing research or test plans involving human subjects
Knowledge of human factors and human performance concepts and theories
Passion for solving complex problems while navigating constraints and trade-offs in a fast-paced setting
Strong written and verbal communication skills
Preferred Qualifications:
Experience with MUM-T, human-robot interaction or artificial intelligence applications
