System Software Engineer – Performance Verification Infrastructure

NVIDIA

System Software Engineer developing end-to-end performance verification infrastructure for NVIDIA's GPUs. Collaborating with architects and HW teams to improve performance workflows and metrics.

Posted 7/28/2026full-timeWestford • California, Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $124,000 - $241,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building end-to-end performance verification infrastructure and scalable data pipelines, with a strong foundation in C++ and Python programming. Familiarity with GPU/CPU/SoC performance verification and simulation tools is essential for optimizing workflows and enhancing chip architecture performance.

Highest-signal resume keywords

C++ ProgrammingPython ProgrammingPerformance VerificationData Pipeline DevelopmentGPU Architecture Collaboration

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Hard Skills

Software EngineeringData StructuresAlgorithmsObject-Oriented ProgrammingSystem DesignVerilog BasicsChip SimulationSystem EmulationPerformance Profiling

Soft Skills

Interpersonal Skills

Tools & Technologies

AI Development Tools

Industry Keywords

GPUCPUSoCPerformance MetricsVerification Workflows

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

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 craft infrastructure for performance verification of upcoming architectures.
Work closely with HW teams to automate and accelerate verification workflows, enabling faster GPU build iteration.
Empower GPU architects by providing insights to understand current performance and model industry-leading performance for future builds.
Improve the daily workflows of the world's top chip architects, contributing to the creation of the next greatest generation of GPUs!

Requirements

What you’ll need

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

Benefits

Comp & perks

Eligible for equity and benefits