ML Hardware Verification Engineer – SoC/IP

Amazon Inc.

Cupertino (CA)

On-site

USD 157,000 - 213,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Web Services in Cupertino, CA seeks an experienced Design Verification Engineer to help design and validate machine learning hardware for data centers. You will verify hardware/software functionality and contribute to verification plans.

You'll work across IP blocks to SoCs and full systems, developing tests, debugging issues, and measuring progress toward customer metrics. A strong background in electrical engineering and formal verification is required.

Qualifications

  • Bachelor's degree in Electrical Engineering or related field.
  • 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.
  • Master's degree in Electrical or Communications Engineering or a related field.
  • Experience with formal verification techniques including abstraction and end-to-end checking.

Responsibilities

  • Verify/validate that hardware and software solutions achieve intended functionality.
  • Develop and execute multi-faceted verification/validation plans.
  • Measure progress toward ambitious customer metrics.

Skills

Bug identification
Debugging skills
System-level verification
IP-to-SoC verification

Education

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

Tools

Formal verification

Job description

Amazon Web Services in Cupertino, CA seeks an experienced Design Verification Engineer to help design and validate machine learning hardware for data centers. You will verify hardware/software functionality and contribute to verification plans.

You'll work across IP blocks to SoCs and full systems, developing tests, debugging issues, and measuring progress toward customer metrics. A strong background in electrical engineering and formal verification is required.

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