GPU Performance Verification Engineer - Chip Simulation

NVIDIA AI; Santa Clara (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA is seeking a software engineer to develop end-to-end performance verification infrastructure and scalable data pipelines for GPU architectures. You will collaborate with architects and hardware teams to automate verification workflows and deliver actionable performance insights for future product builds.

Candidates should have 3+ years of software engineering experience in C++ and Python, with strong CS fundamentals and exposure to chip simulation or GPU/CPU profiling.

Qualifications

• Requires a BS/MS in Computer Science or Engineering with 3+ years of software engineering experience in C++ and Python.
• Strong fundamentals in CS and experience with chip simulation or GPU/CPU performance profiling are highly preferred.

Responsibilities

• Develop end-to-end performance verification infrastructure and scalable data pipelines for GPU architectures.
• Collaborate with architects and hardware teams to automate verification workflows and provide performance insights for future builds.

Skills

C++

Python

Data Structures

Algorithms

Object Oriented Programming

System Design

Verilog

Chip Simulation

Emulation

Performance Verification

Profiling

AI Development Tools

Education

Bachelor's degree in Computer Science or Engineering

Master's degree in Computer Science or Engineering

Job description

NVIDIA in Santa Clara, CA is seeking a software engineer to develop end-to-end performance verification infrastructure and scalable data pipelines for GPU architectures. You will collaborate with architects and hardware teams to automate verification workflows and deliver actionable performance insights for future product builds.

Candidates should have 3+ years of software engineering experience in C++ and Python, with strong CS fundamentals and exposure to chip simulation or GPU/CPU profiling.