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RF Design Engineer, Amazon Leo

Amazon

RF Design Engineer, Amazon Leo

Amazon

Redmond, WA, USA

·

On-site

·

Full-time

·

1mo ago

Compensation

$136,100 - $136,100

Benefits & Perks

Remote options

Conference budget

Design tool subscriptions

Flexible work schedule

Health benefits

Healthcare

Required Skills

Principle

Adobe Creative Suite

Sketch

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 RF Design Engineer working on LEO Phased Array and RF Front-Ends, you will design, integrate, and characterize antennas and arrays across multiple domains (phased arrays, reflectors, aperture antennas, coupling analysis, and other relevant RF areas). You will own "ADC-to-antenna” RF performance, collaborating with RF, systems, antenna, software, and calibration teams to deliver high-performance beams and links for both space and ground segments. You'll be working on 3GPP style systems from <1GHz to >30GHz.
You’ll split your time between EM design tools, RF system analysis, and lab validation, working on antennas that ship in both satellites and customer terminals.

  • Key job responsibilities
  • Design over-the-air link models and system performance models using ITU/3GPP style analysis.
  • Design and optimize antenna and array architectures (element selection, lattice, feeding networks, beam-forming strategies) to meet RF system goals.
  • Own end-to-end RF performance from ADC/DAC through RF front-end to antenna radiation, working closely with RFIC, PA/LNA, and system teams.
  • Use EM and RF design tools (e.g., HFSS, CST, AWR, or similar) to simulate element/array performance, mutual coupling, scan loss, and pattern characteristics.
  • Collaborate with calibration and validation teams to define calibration strategies (array calibration, beam equalization, phase/amplitude error mitigation) and measure on-bench and in-chamber performance.
  • Define and maintain antenna specifications and requirements at the module, aperture, and system level.
  • Support prototype builds, bring-up, and test campaigns for active antennas, including chamber testing and over-the-air validation.
  • Provide DFM and DFT feedback for antenna boards, modules, and test fixtures.
  • Write design reports, test summaries, and present results to leadership and cross-functional partners.

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.
About the team
You’ll be part of the Phased Array Design group within the Antenna organization. This group is responsible for the design, performance, and calibration of all antennas across payload and customer terminals, and owns the end-to-end RF performance of the systems that bring the network to life. You will work closely with RF Communications, Software, Antenna design, EMI/EMC, and Calibration and Validation teams to ensure our antennas meet performance, regulatory, and manufacturability requirements.

Basic Qualifications

  • Experience leading the design, automation, deployment, and support of 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 distributed systems at scale
    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 $136,100/year in our lowest geographic market up to $235,200/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

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

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