HW Validation Engineer , Amazon Leo Hardware Development
Amazon is hiring an HW Validation Engineer , Amazon Leo Hardware Development. It pays $97k-$160k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Level classes it as a junior role.
- Amazon has 20,000+ other open roles on Level.
- Posted in the last few days.
AI in this role
As a Hardware Engineer, you will work alongside senior Electrical Engineers supporting the design, debug, validation and optimization of LEO phased array antenna hardware. You will be involved from concept through production, gaining exposure to the complete design lifecycle. You will be a part of a highly skilled hardware team and will own or contribute to the following:
· Design automated test systems and test fixtures for lab and factory testing.
· Plan and execute hardware bring-up and design verification campaigns at the board and system levels.
· Collaborate with design engineers to define test requirements and acceptance criteria.
· Analyze test data, perform test failure root cause analysis, and generate comprehensive test reports with recommendations.
· Participate in schematic and layout design reviews.
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.
Basic qualifications
- 2+ years of hardware design and validation of components, subsystems and systems experience
- Bachelor's degree in electrical engineering or computer engineering
- Master's degree in electrical engineering or computer engineering
Preferred qualifications
- Experience with hardware/software integration and real-time systems
- PhD in electrical engineering or computer engineering, or equivalent experience
- 1+ years of experience in using schematic
- 1+ years of experience with Mentor Graphics, Cadence, or other equivalent layout tools
- 1+ years of experience using lab equipment, including oscilloscopes, logic analyzers, and multi-meters
- Knowledge of engineering practices and patterns for the full software/hardware/network development life cycle, including coding standards, code reviews, source control management, build processes, testing, and certification
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 - 96,600.00 - 160,000.00 USD annually
How we rate this
HW Validation Engineer , Amazon Leo Hardware Development at Amazon rates 36 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.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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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