Senior Staff GPU Verification Engineer - Formal Methods

Samsung Electronics America

San Jose (CA)

On-site

USD 198,200 - 297,200

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
401(k) plan
Tuition assistance
Employee purchase program
MBO bonus compensation

Job summary

Samsung Electronics America is seeking a Senior Staff GPU Design Verification Engineer to enhance the design verification process for next-generation mobile GPUs. This role emphasizes formal verification methodologies to ensure functional correctness and performance excellence.

The ideal candidate will bring over 10 years of experience in semiconductor design verification, a deep understanding of GPU architectures, and proficiency in programming languages such as Python and System Verilog.

You will be part of a collaborative team working on innovative GPU technologies that impact millions worldwide.

Qualifications

  • 10+ years of experience or 8+ years with a Master's Degree or 6+ years with a Ph.D.
  • Strong understanding of computer architecture and graphics pipelines.
  • Excellent communication and collaboration skills.

Responsibilities

  • Contribute to block and subsystem level formal verification strategy.
  • Ensure functional correctness and power gating mechanisms.
  • Drive complex debug analysis and root-cause resolution.

Skills

GPU design verification
Formal verification
Programming in Python
System Verilog
Analytical skills

Education

Bachelor’s Degree in Computer Science/Engineering
Master’s Degree
Ph.D.

Tools

Confluence
JIRA
EDA tools

Job description

Samsung Electronics America is seeking a Senior Staff GPU Design Verification Engineer to enhance the design verification process for next-generation mobile GPUs. This role emphasizes formal verification methodologies to ensure functional correctness and performance excellence.

The ideal candidate will bring over 10 years of experience in semiconductor design verification, a deep understanding of GPU architectures, and proficiency in programming languages such as Python and System Verilog.

You will be part of a collaborative team working on innovative GPU technologies that impact millions worldwide.

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