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ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration teamAmazonUnited States

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ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team

Amazon
  • US
    United States
  • US
    United States

About

ASIC Design Engineer, Cloud-Scale Machine Learning Acceleration team Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.
AWS values diverse experiences and work/life balance. Inclusive culture and mentorship allow continuous learning and career growth.
Key Job Responsibilities
Integrate multiple subsystems into top level SOC, ensure correct clock/reset/functional/DFT signal routing
Implement and deliver high performance, area and power efficient RTL to achieve design targets and specifications
Analyze design, microarchitecture or architecture to make trade-offs based on features, power, performance or area requirements
Develop micro-architecture, implement SystemVerilog RTL, and deliver synthesis/timing clean design with constraints
Perform lint and clock domain crossing quality checks on the design
Work with architects, other designers, verification teams, pre- and post-silicon validation teams, synthesis, timing and back-end teams to accomplish your tasks
Desired Skills & Qualifications
Familiar with scripting in Python
Proficient with assertions
Good debug skills to analyze RTL test failures
“Learn and Be Curious” mindset
Basic Qualifications
B.S. in Electrical Engineering or related technical field
5+ years in RTL design for SOC
5+ years in VLSI engineering
5+ years with code quality tools including: Spyglass, LINT, or CDC
Preferred Qualifications
Master’s degree in electrical engineering, computer engineering, or equivalent
Experience with Microarchitecture, SystemVerilog RTL, Assertions, SDC constraints
Experience with automation and scripting languages such as Python
Familiarity with data path design, interconnects, AXI protocol
Good analytical, problem solving, and communication skills
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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  • United States

Languages

  • English
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