Human Factors Engineer
Santa Clara Valley (Cupertino), California, United States
Apple is looking for a hardware human factors engineer and/or researcher to apply user-centered design principles to product research, design, and development of hardware products.
- Candidates must be able to work independently and excel in a dynamic, hands-on, cross-functional and creative corporate environment
- Ideal candidates will possess an energetic personality with excellent communication and interpersonal skills, attention to detail, patience, and aesthetic sensibility
- This position requires strength in creating thorough design of experiments, utilizing the scientific method, performing statistical analyses, and visualizing information
- Relevant experience in regulated medical device usability evaluations and documentation preferred.
- Knowledge of regulations and best practices for medical device human factors a plus (e.g. IEC 62366, AAMI HE75, FDA Applying Human Factors and Usability Engineering to Medical Devices).
Apply Human Factors Engineering (HFE) techniques and principles at all phases of product/technology development. Exercise independent judgment in development of study methodology, data collection efforts, data analysis, conclusions, and design recommendations. Develop user study criteria and detailed methodology for hardware user interface testing for several concurrent projects. Conduct user-centered research and evaluation for design concept models on a diverse user population utilizing experimental data, anthropometric databases, and scientific publications. Conduct statistical and qualitative analysis of data and provide clear and concise feedback to teams in a timely manner. Collaborate cross-functionally with design, engineering, and product development groups. Maintain an active working knowledge of worldwide human factors publications, standards, and both cognitive & physical heuristics.
Education & Experience
Bachelor's degree required, (master's/doctorate preferred) with a concentration or extensive work in human factors, industrial engineering, cognitive engineering, anthropometry, experimental psychology, and/or human-computer interaction.