Human Factors Engineer

Cupertino, California, United States
Hardware

Summary

Posted:
Role Number:200549441
Apple is looking for an expert human factors engineer who could initiate, plan, and lead investigational studies for the Spatial Computing space. As a member of a team that leads human factors studies for sensor based interaction technologies, you will have an opportunity to work on AR/VR space including Persona and multi-modal interaction experience. As a senior human factors engineer, you will work with product development teams to design and own an investigation to inform success criteria for sensor-based tracking features underlying Persona and Spatial Computing interaction. Ideal candidates have 3+ years of proven experience influencing the productization of technology.

Key Qualifications

  • Proficiency in the diverse toolkit of experience assessment for virtual human, avatar, and telepresence and ability to select, scale, and adapt your research plan to achieve a goal effectively
  • Ability to identify research goals based on ambiguous problem statements
  • Experience in prototyping study tools to verify research hypotheses
  • 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, Multi-Sensory Interactions, or Biomechanics is helpful

Description

We identify human factors risk and propose vital human factors research at all phases of product/technology development. We work closely with engineers and designers to understand design and interaction challenges. We collaborate multi-functionally to identify the study goals and to develop a study plan for the goal. We influence cross-functional engineering teams by delivering results that could drive a decision. We Identify critical attributes for data collection and conduct statistical (qualitative and quantitative) data analysis to formulate insights. Visualize data and findings to deliver results and recommendations to collaborators.

Education & Experience

BS and a minimum of 3 years relevant industry experience

Additional Requirements

Pay & Benefits