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System Development Engineer, Antenna Payload Validiation

Amazon is hiring a System Development Engineer, Antenna Payload Validiation. It pays $99k-$160k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • Amazon has 20,000+ other open roles on Level.
  • Posted in the last few days.

AI in this role

Amazon Leo is a long-term Amazon program to increase global broadband access through a constellation of satellites in Low Earth Orbit (LEO), providing low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. Direct-to-Device (D2D) is Leo's initiative to enable standard smartphones and IoT devices to connect directly to satellites, filling coverage gaps in remote areas.

As a System Development Engineer, you will help bring up, test, and validate the electrical hardware in phased array antenna systems for our production satellites and for new programs, including D2D and our next-generation constellation. You'll work hands-on in the lab with boards, power systems, and test equipment, and you'll write the scripts and tools that automate that testing. You'll partner with hardware, RF, firmware, and software engineers to find problems early and make sure every unit we ship works.

Key job responsibilities
- Support bring-up, characterization, and validation of antenna boards and subsystems in the lab
- Debug hardware issues at the board and system level using oscilloscopes, logic analyzers, DMMs, power supplies, and other lab equipment
- Read schematics and layouts to isolate failures in power, clocking, and digital interfaces (e.g., SPI, I2C, JTAG, Ethernet, high-speed serial)
- Develop and maintain Python test scripts and lab instrument automation for validation and production testing
- Analyze test data to find trends, failures, and margins, and report results to hardware and firmware teams
- Write clear test procedures, failure reports, and technical documentation

Basic qualifications

- Currently has, or is in the process of obtaining, a Bachelor's degree or above in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, or other related discipline

Preferred qualifications

- Currently has, or is in the process of obtaining, a Master's degree or above in Computer Science, Computer Engineering, Systems Engineering, Electrical Engineering, or other related discipline

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, Redmond - 99,100.00 - 160,000.00 USD annually

How we rate this

System Development Engineer, Antenna Payload Validiation at Amazon rates 29 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

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