Principal Solar Array Scientist - Satellite Program, Project Kuiper

Description

Project Kuiper 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. Project Kuiper 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.

We are seeking a Principal Solar Array Scientist to lead the advancement of next-generation solar array technologies for our Kuiper satellite constellation. This role is a unique opportunity to invent, implement, and influence the future of power systems in low Earth orbit (LEO).

The ideal candidate will bring deep expertise in space-based solar power systems, coupled with a passion for developing cost-effective, scalable, and durable solar solutions that rival terrestrial rooftop solar in cost efficiency-while meeting the extreme demands of the LEO environment.

You will work closely with other senior scientists and cross-functional teams across hardware, systems, and manufacturing to deliver innovations that define the future of satellite energy systems.

Key job responsibilities

Lead technical development of cost-effective solar array solutions for the Kuiper satellite constellation

Develop and validate sophisticated degradation models incorporating multiple physical mechanisms and environmental factors

Design and execute ground-based testing programs that accurately simulate LEO environmental conditions

Analyze and correlate ground test data with on-orbit performance data to refine prediction models

Collaborate with cross-functional teams in materials science, polymer chemistry, and power systems engineering

Drive technical innovation in silicon-based space solar technologies while maintaining awareness of alternative technologies

Author technical papers and present findings at key industry conferences

Provide technical mentorship to junior scientists and engineers

Partner with external vendors and research institutions to advance solar array technology

A day in the life

Begin the day reviewing overnight data from environmental testing chambers running accelerated life tests on new module designs

Collaborate with materials scientists to analyze unexpected degradation patterns in polymer encapsulants

Refine mathematical models using Python/MATLAB to better predict power degradation trends

Meet with systems engineering team to discuss power requirements for next-generation satellites

Review proposals from potential silicon cell suppliers and evaluate new technology offerings

Work with test engineers to design new experiments that better replicate observed on-orbit phenomena

Analyze discrepancies between ground test predictions and actual satellite performance data

Basic Qualifications

PhD in Physics, Materials Science, Electrical Engineering, or related field

10+ years of experience in space solar array technology development

Deep expertise in silicon solar cell technology and solar module manufacturing processes

Strong background in materials science and polymer chemistry as applied to solar modules

Experience with environmental testing of space hardware

Proven track record of developing predictive models for complex physical systems

Excellence in data analysis and scientific computing

Strong publication record in relevant technical journals

Preferred Qualifications

Experience with alternative space solar technologies (multi-junction, thin-film, etc.)

Familiarity with satellite power systems and LEO environment effects

Background in cost modeling and manufacturing process optimization

Experience with machine learning applications in degradation modeling

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 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 $170,500/year in our lowest geographic market up to $294,700/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 . This position will remain posted until filled. Applicants should apply via our internal or external career site.