System Software Engineer - Performance Verification Infrastructure

at Nvidia

📍 Santa Clara, United States

USD 124,000-241,500 per year

MIDDLE SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 2 Algorithms @ 6 Data Pipelines Data Structures @ 6 GPU @ 6 Profiling @ 6 Python @ 5

Details

NVIDIA is seeking a System Software Engineer to join its GPU Performance Infrastructure team and help validate and ship next-generation GPU architectures. The role covers the full lifecycle of GPU performance verification, from early-stage modeling to post-silicon validation, and involves building infrastructure and workflows that accelerate GPU development.

Responsibilities

Build and develop end-to-end performance verification infrastructure.
Build scalable data pipelines to surface performance metrics from simulation, emulation, and silicon environments.
Coordinate with GPU architects to create infrastructure for performance verification of upcoming architectures.
Work closely with hardware teams to automate and accelerate verification workflows, enabling faster GPU build iteration.
Provide GPU architects with insights into current performance and help model industry-leading performance for future builds.
Improve the daily workflows of chip architects and contribute to the development of future GPU generations.

Requirements

Bachelor’s or master’s degree in Computer Science, Computer Engineering, or equivalent experience.
At least 3 years of software engineering experience with C++ and Python.
Strong computer science fundamentals, including data structures, algorithms, object-oriented programming, and system design.
Excellent interpersonal skills.
Familiarity with AI development tools.
Verilog basics are a strong plus.
Experience with chip and/or system simulation or emulation is a strong plus.
Exposure to GPU, CPU, or SoC chip performance verification and/or profiling on simulation, emulation, or silicon environments is a strong plus.

Compensation and Benefits

The base salary is determined by location, experience, and the compensation of employees in similar positions. The base salary ranges are USD 124,000–195,500 for Level 2 and USD 152,000–241,500 for Level 3. The role also includes eligibility for equity and benefits.

Applications will be accepted at least until August 29, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes and is an equal opportunity employer.