GPU Performance Verification Engineer

Key Responsibilities

• Performs Performance verification of graphics logic components, including 3D graphics, media, and display.
• Defines and develops scalable and reusable IP verification plans, test benches, and architecture for verification environments.
• Executes verification plans and defines and runs system simulation models to verify the design, analyze power and timing, and uncover bugs.
• Replicates, root causes, and debugs issues in the presilicon environment.
• Finds and implements corrective measures to resolve failing tests.
• Collaborates with GPU architects, RTL developers, and physical design teams to improve verification of complex architectural and microarchitectural features.
• Documents test plans and drives technical reviews of plans and proofs with design and architecture teams.
• Maintains and improves existing performance verification infrastructure and methodology.
• Participates in the definition of verification infrastructure and related TFMs needed for Performance design verification.

Qualifications

• Bachelors or Masters with 2-10 years of Design Verification Experience.
• Experience with Verification of Subsystem and/or SoC having GPU/CPU.
• Experience in writing UVM based Tests, Assembly based tests, tests using high-level languages like Open GL AND/OR Open CL.
• Knowledge of Graphics 3D and/or Compute Pipeline.
• Knowledge of Cache Controllers & Memory protocols like HBM, LPDDR, GDDR.
• Knowledge of Industry Standard Emulation Tools like Zebu/Veloce/Palladium.
• Experience of Performance Verification is a plus.
• Knowledge of Performance Analysis/Bottleneck Analysis of 3D AND/OR Compute workloads is a plus.

About the Role

The Data Center Group (DCG) focuses on developing and validating GPUs for data-centric workloads, including artificial intelligence, machine learning, and high-performance computing.

This role will be eligible for our hybrid work model.