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Optical Engineer, Emerging Optics

Amazon

Optical Engineer, Emerging Optics

Amazon

Tucson, AZ, USA

·

On-site

·

Full-time

·

1w ago

Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced devices like Kindle, Fire tablets, Fire TV and Amazon Echo. What will you help us create?

About the Role: We are seeking a highly skilled and innovative Optical Engineer to join our team in developing next-generation consumer products. As a key member of our cross-disciplinary staff, you will leverage your expertise in optical simulation and design to drive product innovation from concept to execution.

Basic Qualifications

  • Bachelor's degree or above in engineering, physics, or equivalent
  • 4+ years of experience in optical design and simulation.
  • Experience with optical simulation software (Light Tools, Zemax, RSoft, Fred, SPEOS…)
  • Comprehensive knowledge of optical system, display optics, and visual optics.
  • Strong skill in scripting (Python, MATLAB…).

Preferred Qualifications

  • 4+ years of consumer electronics experience
  • Experience with CAD modelling software, such as Solidworks or MATLAB
  • Experience in scripting using optical simulation software APIs and/or macros.
  • Experience with design and development of optical systems requiring a combination of illumination, imaging, stray light mitigation, radiometry/photometry, holographic/diffractive optics.
  • Experience with AR/VR optics include transparent displays such as waveguide displays.
  • Experience that includes strong analytical skills, attention to detail, and effective communication abilities
  • Knowledge on display manufacturing.
  • Experience with leverage AI tools for engineering solutions.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, AZ, Tucson - 117,300.00 - 160,000.00 USD annually

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge