The Human Factors and Ergonomics team at Amazon Robotics works to ensure the safety and productivity of Amazon associates around the world. We ensure that AR products are designed to fit the needs of our associates by proactively assessing every design from inception against human centric design requirements. We evaluate conceptual designs using digital simulations, iteratively test prototypes using advanced wearable technology, and validate products at beta release to the field.
Key job responsibilities
We are looking for a bright and motivated HFE engineer who is excited to work on complex, real-world challenges. We are interested in someone who has experience with human factors and ergonomics analysis tools, methods, and thresholds. We are seeking a candidate with research experience, who is interested in and comfortable working with complex data. The responsibilities of this role include:
- Collaborating with design engineering to evaluate work processes and workspaces that adhere to human factors and ergonomics standards
- Supporting the execution of comprehensive assessments of workstations and processes covering biomechanical, physiological, and psychophysical demands
- Effectively communicating results and associated design rationale to multiple engineering and operations entities
- Supporting human factors and ergonomics research projects, including study execution, data collection, and analysis
- Continuously striving to gain in-depth knowledge of your profession, as well as branch out to learn about intersecting fields, such as user experience, industrial design, and systems engineering
- Traveling to either of the two Boston sites (BOS12 or BOS27) to conduct assessments and research activities, up to 25% of the time
A day in the life
Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
At Amazon Robotics, we create high tech products that help associates to work faster, safer, and with greater satisfaction. In order to best serve our associate customers, we need to incorporate ergonomic considerations into the design cycle for associate facing hardware development projects. Our team conducts human factors and ergonomic evaluations early and often, in order to minimize injury potential and enhance the overall associate experience.
BASIC QUALIFICATIONS
- Bachelor's degree in Human Factors, Ergonomics, Biomedical Engineering, Industrial Engineering, Mechanical Engineering, or Life Sciences (e.g. Biology, Physiology, Kinesiology, Biomechanics)
- Experience conducting human factors/ergonomics assessments, using tools such as: NIOSH Lifting Equation (LI, CLI, VLI), Liberty Mutual MMH Tables, Duty Cycle Equation, RCRA, Revised Strain Index, OCRA, 3DSSPP, EEPP, Siemens Jack/Process Simulate, etc.
- Experience with motion capture analysis (e.g., Xsens IMU or optical systems)
- Strong written and verbal communication skills
- Skilled using Excel (or more advanced tools such as MATLAB or Python) for data manipulation and analysis
PREFERRED QUALIFICATIONS
- Experience conducting laboratory studies in human performance using motion capture technology, electromyography, metabolic carts, etc.
- Ability to perform independent biomedical signal processing and statistical analysis of large databases using your own code in MATLAB or Python
- Leveraging of advanced statistical methods, such as principal component analysis, support vector machines, neural networks, etc. to gain insight of human capacity and variability
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.