GPU Performance Verification Engineer

NVIDIA Corporation (old); Santa Clara (CA); Hybrid; USD 124,000 - 196,000; Full time

Benefits offered by this job

Equity compensation

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking engineers to validate and ship next-gen GPU architectures. You will build end-to-end performance verification infrastructure, surface metrics from simulation and silicon, and collaborate with GPU architects to enable faster build iterations.

The ideal candidate has 3+ years of C++/Python software engineering, strong CS fundamentals, and experience with simulation/emulation. A Hybrid work model and equity/benefits are included.

Qualifications

• BS/MS in Computer Science, Computer Engineering, or equivalent experience.
• 3+ years of software engineering with C++ and Python.
• Strong CS fundamentals: data structures, algorithms, OOP, system design.
• Verilog basics appreciated.
• Experience with chip/system simulation or emulation.
• Exposure to GPU/CPU/SoC performance verification and/or profiling.
• Familiarity with AI development tools.
• Excellent interpersonal skills.

Responsibilities

• Build and develop end-to-end performance verification infrastructure.
• Build scalable data pipelines for performance metrics from simulation to silicon.
• Coordinate with GPU architects for verification infrastructure of upcoming architectures.
• Work with HW teams to automate verification workflows and accelerate builds.
• Provide insights to understand current performance and guide future GPUs.
• Improve daily workflows of chip architects and contribute to next-gen GPUs.

Skills

C++

Python

Data structures

System design

Verilog basics

AI development tools

Interpersonal skills

Education

BS in Computer Science or Engineering

MS in Computer Science or Engineering

Tools

Simulation/Emulation tools

HDL tooling

Job description

NVIDIA Corporation in Santa Clara, CA is seeking engineers to validate and ship next-gen GPU architectures. You will build end-to-end performance verification infrastructure, surface metrics from simulation and silicon, and collaborate with GPU architects to enable faster build iterations.

The ideal candidate has 3+ years of C++/Python software engineering, strong CS fundamentals, and experience with simulation/emulation. A Hybrid work model and equity/benefits are included.