Hardware Development Engineer, Test and Simulation Hardware, Prime Air, Drone Delivery
Amazon is hiring a Hardware Development Engineer, Test and Simulation Hardware, Prime Air, Drone Delivery in Seattle, United States. It pays $97k-$160k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
- Amazon has 20,000+ other open roles on Level.
- Posted in the last few days.
AI in this role
Key job responsibilities
- Design and model hardware components and test fixtures using CAD software, applying mechanical design principles to create solutions that meet defined specifications and manufacturing requirements.
- Triage and troubleshoot test systems and hardware failures to identify root cause, using data acquisition systems, power supplies, and safety systems to resolve issues efficiently.
- Build, maintain, and repair electromechanical test systems, ensuring high availability of test infrastructure across the lab environment.
- Collaborate with hardware, software, and production teams to align on test system requirements and keep shared infrastructure operating reliably.
- Develop test stand operational procedures and training manuals, and automate test systems to drive continuous improvement in reliability, lab safety, and operational efficiency.
A day in the life
You will start your day checking the status of test systems across the lab, prioritizing any failures that need immediate attention. From there, you might open CAD to refine a 3D model for a test fixture, head to the floor to repair an electromechanical assembly. Afternoons could involve reviewing mechanical designs with peers, updating documentation for a modified test stand, or connecting with hardware and software engineers to troubleshoot cross-system issues and plan upcoming infrastructure needs.
About the team
Our team keeps the test infrastructure running that Amazon's hardware teams depend on to validate and ship products. We own the build-out, maintenance, and continuous improvement of lab systems, partnering closely with hardware, software, and production groups. We value hands-on problem-solving, a commitment to safety, and a collaborative approach to keeping our lab environment reliable and efficient. If you are curious and motivated to improve the systems around you, this is a great place to grow your career at Amazon.
Basic qualifications
- 2+ years of hardware design and validation of components, subsystems and systems experience
- Bachelor's degree in mechanical engineering, electrical engineering, material science, physics or equivalent
- Knowledge of SolidWorks or similar CAD experience and understanding of best practices for part design, and advanced assemblies
Preferred qualifications
- Experience in system-level debugging
- Experience with CATIA 3D modelling tool
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, Seattle - 96,600.00 - 160,000.00 USD annually
How we rate this
Hardware Development Engineer, Test and Simulation Hardware, Prime Air, Drone Delivery at Amazon rates 47 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● 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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