Apple AR/VR Job | Sr. Human Factors Engineer
Job（岗位）: Sr. Human Factors Engineer
Citys（岗位城市）: Santa Clara Valley (Cupertino), California, United States
Apple is looking for an expert senior human factors engineer who could initiate, plan and lead studies for sensor-based interaction technology development. As a member of a team that leads investigational studies for interaction technology, you will have the opportunity to work on various Apple HW products, where interaction is a crucial element for the success of the products. As a senior human factors engineer, you will work with product development teams to design and lead studies that assess usability risk and provide knowledge on human behaviors to optimize sensor-based interaction features. Ideal candidates have 8+ years of proven experience influencing the productization of technology and product design.
Proficiency in the diverse toolkit of user experience research, and ability to select, scale, and adapt your research plan to achieve a goal optimally
Ability to identify research goals based on ambiguous problem statements
Experience in prototyping study tools to verify research hypotheses for interaction technology
Proficiency in statistical analysis and data visualization
A validated ability to present research findings and recommendations to all levels of partners, including executive management
An ability to rapidly acquire familiarity with emergent technologies and software algorithms
Experience with Motion Capture, VR/AR, Multi-Sensory Interactions, or Biomechanics is helpful
We identify human factors risk and propose vital human factors research at all phases of product/technology development. Clearly understand design and interaction challenges by working closely with engineers and designers. Lead user-centered research by identifying key issues for a development phase. Collaborate cross-functionally to identify the study goals and to develop a study plan for the goal. Influence cross-functional engineering teams by delivering results that could drive a decision. Identify critical attributes for data collection and conduct statistical (qualitative and quantitative) data analysis to formulate insights. Visualize data and findings to deliver results to stakeholders.
Clearly understand design and interaction challenges by working closely with engineers and designers
Collaborate cross-functionally to identify study goals and develop a study plan for the goal
Identify critical attributes for data collection and prototype data collection tools.
Conduct statistical (qualitative and quantitative) analysis of data to formulate insights
Visualize data and findings to deliver results to stakeholders