招聘
The Prime Air Electric Propulsion team is seeking a highly motivated Manufacturing Test Engineer with strong background in test automation, hardware/software integration, and electric powertrain systems. The engineer will design and develop automated test solutions for drone components, build scalable test frameworks, and lead validation efforts.
Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization.
If you are seeking an environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you.
Come work on the Amazon Prime Air Team!
Key job responsibilities
- Key Responsibilities include
- Developing Python-based tools for system validation and automation
- Creating automated test frameworks for integrated hardware/software devices
- Leveraging AWS cloud services for test infrastructure
- Writing Bash scripts for test workflows
Basic Qualifications
- Bachelor's degree or above in computer science, electrical engineering, or related field
- 5+ years of equivalent experience
- Experience with test plan development, building the necessary test bench infrastructure, developing tests and verifying the design
- Experience with AWS or cloud technologies
- 4+ years of hardware design and validation of components, subsystems and systems experience
- Experience with Python for scripting, automation, and test development
Preferred Qualifications
- Experience in embedded wireless systems, or experience with general troubleshooting/debugging of hardware
- Experience in automation via Bash/shell scripting and Perl/Python programming
- Experience with software or hardware troubleshooting and device connectivity
- Familiarity with system architecture, hardware selection tradeoff analysis, and integration planning
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, WA, Seattle - 85,700.00 - 149,900.00 USD annually
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关于Amazon

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+
员工数
Seattle
总部位置
$1.5T
企业估值
评价
2.9
10条评价
工作生活平衡
2.8
薪酬
3.7
企业文化
2.5
职业发展
2.3
管理层
2.1
35%
推荐给朋友
优点
Good pay and compensation
Strong benefits package
Flexible scheduling options
缺点
Poor management and leadership
Limited growth and promotion opportunities
High stress and demanding work environment
薪资范围
4个数据点
L2
L3
L4
L5
L6
L2 · Data Analyst L2
0份报告
$108,330
年薪总额
基本工资
$43,332
股票
$54,165
奖金
$10,833
$75,831
$140,829
面试经验
10次面试
难度
3.7
/ 5
时长
21-35周
录用率
20%
体验
正面 10%
中性 10%
负面 80%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Loop
6
Team Matching
7
Offer
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Leadership Principles
Technical Knowledge
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