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Systems Development Engineer, Manufacturing Test Infrastructure, Project Kuiper
Bellevue, WA, USA
·
On-site
·
Full-time
·
3w ago
Compensation
$129,200 - $174,800
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Parental Leave
•Mental Health
•Flexible Hours
•Healthcare
•401k
•Equity
•Parental Leave
•Mental Health
•Flexible Hours
Required Skills
Python
Ruby
Go
Java
C++
C#
Rust
Linux/Unix
CI/CD
Leo is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations 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.
Manufacturing Systems Engineering Test Infrastructure Team under Amazon Leo Prod-Ops is responsible for delivering improvements on the throughput and quality of testing for satellite components. We partner with engineering and production teams to bring reliability and repeatability to our systems, increase throughput and accelerate testing. We are looking for a System Development Engineer to optimize tests for Satellite hardware at contract manufacturing sites and Amazon Leo factory locations. Candidate will need to use data analysis to identify opportunities to optimize provisioning and testing processes and partner with design engineering, software teams, and Contract Manufacturer site representatives to implement solutions. You will work across the org with many software and hardware teams identifying requirements, prioritizing critical efforts and providing updates to senior management and stakeholders.
- Key job responsibilities
- Lead and conduct complex system-level analyses across multiple subsystems to evaluate design alternatives and optimize manufacturing test infrastructure architecture
- Develop and implement processes to facilitate communication of system design/architecture with partner teams including contract manufacturers, software teams, and hardware engineering
- Lead technical risk assessments and failure mode identification for manufacturing test systems, establishing test strategies and acceptance criteria
- Derive and synthesize requirements for system efficiency, operational excellence, and user experience across the manufacturing test infrastructure
- Identify and frame needs for analyses that balance impact and feasibility, conducting trade off studies to optimize test system design
- Lead collaboration across diverse technical teams (software, hardware, RF) to establish design goals and technical specifications
- Propose and implement changes to systems and architecture that improve performance, robustness, and extensibility
- Identify and escalate execution and technical dependencies in relation to schedule, managing cross-functional trade-offs
Basic Qualifications
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
Preferred Qualifications
- Experience with Windows and Linux operating systems
- Experience leading process improvements
- Experience in communicating with users, other technical teams, and management to collect requirements, evaluate alternatives and develop processes and tools as needed to support the organization
- Experience with embedded software
- Experience troubleshooting and debugging technical systems
- Experience implementing repeatable processes and driving automation or standardization
- Experience working with contract manufacturers (CMs)
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, BELLEVUE - 129,200.00 - 174,800.00 USD annually
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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
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
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