Position: Human Factors Engineer
About the Role:
Human Factor Engineering (HFE) act as design-team members, lead UI evaluation efforts, partner effectively with cross-functional teams.
Job Description Summary
This role is for someone who can demonstrate the ability to take initiative and work independently to drive difficult and challenging outcomes.
In this role, you will be responsible for:
- Changing engineering organization mindset to include more customer centric thinking
- Proposing and executing research initiatives and communicating these effectively.
- Highly self-motivated, able to prioritize and focus on critical tasks.
- Independent, but open to input.
- Has excellent user interface design skills have proven themselves to be creative problem solvers.
- Excellent verbal and written communications abilities augmented with strong presentation skills.
- Consensus builders that can flexibly articulate the value of user-centered design in a fast-moving, highly competitive environment.
- Responsible for applying Human Factors Engineering techniques and principles at all phases of product/technology development, including: End-user profiling application of market research.
- Requirements gathering definition.
- Product concept formation and qualification.
- Rapid, iterative user interface design, simulation, and evaluation.
- Research planning, delivery, tracking and closure for hardware, software, and web projects.
- Formal evaluation and experimental methods for field and lab (design, collection, analysis, delivery)
- BA/BS in Computer Science, Human-Computer Interaction, Cognitive Science, Experimental Psychology, Anthropology, Information Science or related field or equivalent practical experience.
- Innate sense of curiosity, excellent interpersonal, communication, negotiation and collaboration skills.
- Self-reflective and open to feedback.
- 6 years of relevant work experience, including experience integrating user research into product designs and design practices.
- Strong understanding of strengths and shortcomings of different research methods, including when and how to apply them during each product phase.
- Excellent working knowledge of statistics, analytics and the principles of experiment design