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Software Development Engineer, Kuiper Manufacturing Systems Engineering

Amazon

Software Development Engineer, Kuiper Manufacturing Systems Engineering

Amazon

Bellevue, WA, USA

·

On-site

·

Full-time

·

2w ago

Project Kuiper 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 (MSE) under Project Kuiper Prod-Ops is responsible for delivering software solutions that improve speed and quality of Kuiper manufacturing systems. We partner with engineering and production teams to bring reliability and repeatability to our systems, improve throughput and accelerate the transition. We are looking for a software engineer with experience in delivering software solutions that scale as we ramp up our manufacturing throughput. We are looking for a candidate with hands on experience in programming languages like python, rust or java and is familiar with AWS cloud services.

  • Key job responsibilities
  • Participate in all phases of software development lifecycle from requirements to implementation and deployment to operations.
  • Collaborate with stakeholders such as factory planners and technicians to launch customer centric software solution that scale.
  • Lead technical projects and collaborate with cross-functional teams such as satellite software and hardware engineering teams.
  • Design flexible solutions for complex problems with multiple unknowns with exceptional performance & reliability.
  • Integrate software solutions with hardware interfaces.
  • Utilize AWS infrastructure and services such as Lambda, IAM, SNS/SQS, DocumentDB, API Gateway, CloudWatch, IoT etc.
  • Mentor fellow engineers and contribute to building a strong engineering culture.

About the team
Manufacturing Systems Engineering (MSE) team is responsible for building standardized, automated, and scalable manufacturing systems. Our mission is to transform engineering inputs into production-ready solutions in four critical areas: automated testing for chambers, calibration and provisioning of manufacturing systems, shop floor management tools, and optimized test station design and infrastructure. We act as the critical interface between engineering and production teams, ensuring seamless integration of software and hardware components in developing production-ready systems. We focus on delivering solutions that automate production testing processes, reduce cycle times, and optimize setup/teardown procedures, effectively addressing critical bottlenecks while ensuring consistent implementation across all production sites.

Basic Qualifications

  • 3+ years of non-internship professional software development experience
  • 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience programming with at least one software programming language

Preferred Qualifications

  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent
  • Experience with hardware/software integration and real-time systems

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 - 143,700.00 - 194,400.00 USD annually

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About Amazon

Amazon

Amazon

Public

Amazon.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

$1.5T

Valuation

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

4 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total per 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