Cloud-Scale ML ASIC Design Engineer

Amazon Web Services (AWS)

Cupertino (CA)

On-site

USD 157,000 - 213,000

Full time

33 hours ago
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Job summary

Amazon Web Services in Cupertino, CA is seeking an ASIC Design Engineer to lead high-performance RTL design and optimization for data-center hardware, including SystemVerilog implementation and timing analysis.

You will collaborate with architects, verification, and back-end teams to ensure power-efficient, scalable solutions for AWS ML accelerators and related datacenter infrastructure.

Qualifications

  • Bachelor's degree in Electrical Engineering required.
  • Experience identifying bugs in architecture, algorithms, functionality, and performance with strong debugging skills.
  • Experience verifying at multiple levels of logic from IP blocks to SoCs to full system testing.

Responsibilities

  • Develop and implement high-performance, area and power-efficient RTL designs to meet project specifications and targets.
  • Conduct in-depth analysis of designs, microarchitectures, and architectures to optimize trade-offs between features, power consumption, performance, and area requirements.
  • Create microarchitectures, implement SystemVerilog RTL, and deliver synthesis and timing-clean designs with appropriate constraints.
  • Execute lint and clock domain crossing quality checks to ensure design integrity.
  • Collaborate with cross-functional teams including architects, verification specialists, and back-end experts.

Skills

SystemVerilog
ASIC design
Debugging
Scripting (Python/Perl)

Education

Bachelor's degree in Electrical Engineering
Master's degree in Electrical or Communications Engineering

Job description

Amazon Web Services in Cupertino, CA is seeking an ASIC Design Engineer to lead high-performance RTL design and optimization for data-center hardware, including SystemVerilog implementation and timing analysis.

You will collaborate with architects, verification, and back-end teams to ensure power-efficient, scalable solutions for AWS ML accelerators and related datacenter infrastructure.

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