招聘
Amazon Leo is an initiative to increase global broadband access through a constellation of 3,236 satellites in low Earth orbit (LEO). Its mission is to bring fast, affordable broadband to unserved and underserved communities around the world. Amazon Leo will help close the digital divide by delivering fast, affordable broadband to a wide range of customers, including consumers, businesses, government agencies, and other organizations operating in places without reliable connectivity.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
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The Amazon Leo Supply Chain team is looking for a Sr Manager
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ASIC Sustaining Engineering to partner closely with Design, Marketing, and Sales teams to align product roadmaps with market demands. The ideal candidate will have a successful track record developing and executing strategy while maintaining design quality standards. Experience working in new and ambiguous environments while solving complex problems with a broad range of cross functional stakeholders will also be an advantage.
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Key job responsibilities
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Product Development & Lifecycle: Work closely with Design teams to transition of chips from tape-out to final product, including validation, characterization, and debugging.
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Yield Enhancement & Optimization: Analyzing wafer fabrication data and test results to improve chip yield, directly impacting profitability.
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Yield, Test & Operations Strategy: Managing relationships with foundries and Outsourced Semiconductor Assembly and Test (OSAT) partners and driving process & yield maturity.
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Driving engineering innovation, collaborating on design-for-test (DFT) initiatives, test cost reduction and maintaining design quality standards.
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Technical Leadership: Work closely with Design Engineering, Supply Chain and Quality and ensure alignment to meet product ramp milestones.
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Build and lead global teams across Yield & Test engineering. Drive culture of excellence, accountability and problem solving.
Basic Qualifications
- 5+ years of product management experience
- 7+ years of people management experience
- Bachelor's degree in Engineering, Computer Science, or a related technical field
- Experience managing cross-functional projects and initiatives
Preferred Qualifications
- Master's degree
- Experience with agile or other program management methodologies
- 15+ years in product engineering, with significant experience in senior technical leadership roles within the semiconductor industry.
- Deep expertise in semiconductor hardware, specifically in ASIC design, silicon photonics, RFIC, or analog/mixed-signal circuit
- Strong understanding of fabless supply chains, test engineering, and yield analysis. MS or PhD in Electrical Engineering or Semiconductor Physics or related fields preferred.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, Sunnyvale - 239,600.00 - 324,100.00 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
3.4
10条评价
工作生活平衡
2.3
薪酬
4.2
企业文化
3.1
职业发展
3.8
管理层
2.7
65%
推荐给朋友
优点
Great benefits and competitive compensation
Learning opportunities and career advancement
Good teamwork and colleagues
缺点
High pressure and long hours
Poor work-life balance
Toxic work culture and high turnover
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
6次面试
难度
4.0
/ 5
时长
21-35周
体验
正面 0%
中性 17%
负面 83%
面试流程
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
常见问题
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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