
Work hard. Have fun. Make history.
Optical Engineer, Emerging Optics
必須スキル
Python
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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Amazonについて

Amazon
PublicAmazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.
10,001+
従業員数
Seattle
本社所在地
$1.5T
企業価値
レビュー
10件のレビュー
3.4
10件のレビュー
ワークライフバランス
2.5
報酬
4.2
企業文化
3.0
キャリア
3.8
経営陣
2.7
65%
知人への推奨率
良い点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
改善点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
給与レンジ
4件のデータ
L2
L6
L3
L4
L5
L2 · Data Analyst L2
0件のレポート
$108,330
年収総額
基本給
$43,332
ストック
$54,165
ボーナス
$10,833
$75,831
$140,829
面接レビュー
レビュー6件
難易度
4.0
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 17%
ネガティブ 83%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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