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Sr. Wireless Test Architect, LEO Antenna Test Infrastructure
Redmond, WA, USA
·
On-site
·
Full-time
·
1mo ago
Compensation
$128,600 - $128,600
Benefits & Perks
•Team events and activities
•Parental leave
•Competitive salary and equity package
•Professional development budget
•401(k) matching
•Generous paid time off and holidays
•Parental Leave
•Equity
•Learning
Required Skills
Python
JavaScript
TypeScript
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.
As an Wireless Test Architect you will engage with an experienced cross-disciplinary team to develop new, advanced test systems for our Digital Phased Array systems, integrating them with our existing test infrastructure. We have near field spherical scanners, robotic manipulators and advanced RF optics that account for some of the fastest antenna characterization systems in the world, but we need to keep improving test coverage, test accuracy and repeatability, and test new features. Although Amazon LEO's communication system typically relied on sat-com concepts and test methods (DVT, ATP and QTP test campaigns and cycles), we look to the 3GPP industry standards and testing practices to adopt those learnings and build upon them.
- Key job responsibilities
- design a DVT and QTP campaign that is adequately trimmed for the devices, campaign goals and resources available
- Given a campaign goal, design an OTA test that can be performed with available test infrastructure
- drive strategy of test, custom instrumentation and infrastructure buildup for new wireless tests for DVT, QTP and ATP for all Payload and CT products
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.
Basic Qualifications
- Experience in developing functional specifications, design verification plans and functional test procedures
- Master's degree in Electrical/Communications Engineering, or 8+ years of analog or RF layout design experience
- Knowledge of antenna fundamental and radiation theory EM simulation experience
- Strong understanding of RF and Microwave Components design, Frontend design, Radio Architecture
- Strong understanding of Mixed Signal components, Digital Modulations and OFDM, Signal Theory
- 4+ yr of industrial experience driving the test strategy for 5G NR FR1 and FR2, Wi Fi 6 and 7 products
- 5+ yr experience in test automation
Preferred Qualifications
- Experience working with interdisciplinary teams to execute product design from concept to production
- Experience with the project management of technical projects
- Experience with network troubleshooting tools (telnet, test-netconnection, tracert, tracetcp, iperf, ntttcp, dig, and packet capture tools), or experience in Linux and Networking protocols and experience in Network protocols like DNS/DHCP/TCP
- Track record of designing and implementing automated testing solutions for wireless platforms, and test frameworks.
- Strong hands-on experience with radio frequency measurement devices, such as VSA, VSG, and wireless connectivity testing systems. Knowledge of platforms like CMW500 or similar testing solutions is desirable.
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.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $128,600/year in our lowest geographic market up to $213,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
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About 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+
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
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total / year
Base
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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
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