Cloud Hardware Development Engineer, Cloud AI/ML/storage server teams
Amazon - Cupertino, California, USA
Posted Apr 17, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Cloud Hardware Development Engineer, Cloud AI/ML/storage server teams Cupertino, California, USA Application deadline: Jun 16, 2026 As a Cloud Hardware Development Engineer, you will be an end-to-end owner of storage and/or accelerator (AI/ML/GPU) server platforms - from New Product Introduction (NPI) through fleet health in production. You own the full lifecycle: design, development, qualification, launch, and ongoing operational excellence of servers running at scale in the AWS fleet. You will work closely with internal customers to understand their technical needs and business goals, leveraging your experience with server design and the knowledge of various teams to architect solutions we deploy at scale. To deliver your products, you will work with an interdisciplinary team of component, firmware, power, mechanical, electrical, test, qualification, manufacturing engineers, and lead our ODM (design and manufacturing partners) to bring these servers to the data center. After launch, you own the fleet - monitoring quality, driving reliability improvements, and ensuring servers continue to meet customer requirements throughout their operational life. This role demands deep technical curiosity and the willingness to jump in and personally solve the hardest problems. When a complex system failure occurs - whether during NPI qualification or in a production fleet of hundreds of thousands of servers - you roll up your sleeves, dive into the details across hardware, firmware, software, and physical layers, and drive to root cause. You don't wait for someone else to figure it out. You will own end-to-end system reliability - proactively identifying deficiencies and driving toward zero-touch operations
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