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Design Verification Intern
Austin, TX
Job/Internship Description
Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We have data center locations in the U.S., Europe, Singapore, and Japan, and customers across all industries. We are seeking experienced Hardware Design Engineers to build the next generation of our cloud server infrastructure. Our success depends on our world-class server infrastructure; we're handling massive scale and rapid integration of emergent technologies.
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.
Responsibilities:
* Verify and validate that our hardware and software solutions will achieve the functionality needed to enable our customers
* Develop a deep understanding of the end customer requirements, including software applications, use models, system architecture and the SoC architecture/micro-architecture of our solutions
* Develop multi-faceted verification/validation strategies and plans that include advanced design verification, FPGA, emulation, software and full system testing
* Efficiently execute test plans on multiple platforms, measure progress and metrics, and work with cross-functional teams to achieve these results
Basic Qualifications
* Enrolled in BS degree or higher in EE or CE
* Programming experience in C/C++
* Programming experience in System Verilog or Verilog
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost.
Responsibilities:
* Verify and validate that our hardware and software solutions will achieve the functionality needed to enable our customers
* Develop a deep understanding of the end customer requirements, including software applications, use models, system architecture and the SoC architecture/micro-architecture of our solutions
* Develop multi-faceted verification/validation strategies and plans that include advanced design verification, FPGA, emulation, software and full system testing
* Efficiently execute test plans on multiple platforms, measure progress and metrics, and work with cross-functional teams to achieve these results
Basic Qualifications
* Enrolled in BS degree or higher in EE or CE
* Programming experience in C/C++
* Programming experience in System Verilog or Verilog
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Position Summary
Company
Start Date
As soon as possible
Employment Type
Full Time
Period of Employment
Open
Type of Compensation
Paid
College Credits Earned
No
Tuition Assistance
No
Required Student Status
Open
Preferred Majors
Other
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