System Software Engineer, Performance Verification Infrastructure

Nvidia

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Santa Clara, CA
Salary: $124,000–$195,500 / yr
Posted: 8 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k

This role $160k

$112k most similar roles pay here $237k

This role pays less than 80% of similar roles. Most pay $170,300–$216,587 — the shaded band above. At the midpoint, this role pays about $160k versus about $193k for comparable roles.

Based on 240 similar postings.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 896 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 876 roles with salary data.

Most-posted roles

View all roles at Nvidia

At a glance

TL;DR · System Software Engineer, Performance Verification Infrastructure

Role Posting Log in to save

As a System Software Engineer - Performance Verification Infrastructure on the GPU Performance Infrastructure team, you will play a critical role in validating and shipping next-generation GPU architectures. You will build and develop end-to-end performance verification infrastructure, including scalable data pipelines to surface metrics from simulation, emulation, and silicon environments. Collaborating with GPU architects and hardware teams, you will automate workflows to accelerate iterations and provide insights to model industry-leading performance for future builds. The role requires a degree in Computer Science or Computer Engineering and over three years of software engineering experience using C++ and Python. You must possess strong fundamentals in data structures, algorithms, object-oriented programming, and system design. Additional preferred skills include Verilog basics, chip or system simulation experience, GPU/CPU/SoC performance profiling, and familiarity with AI development tools.

What does a System Software Engineer earn in California?

Median $235750 from 37 postings across 4 companies.

See salary data

Skills

C++ Python Data Structures Algorithms System Design Verilog Simulation Emulation Silicon Validation Data Pipelines AI Development Tools GPU Architecture SoC

What you'll do

Build and develop end-to-end performance verification infrastructure for next-generation GPU architectures.
Create scalable data pipelines to surface performance metrics from simulation, emulation, and silicon environments.
Collaborate with GPU architects to design infrastructure for verifying upcoming hardware designs.
Automate and accelerate verification workflows in partnership with hardware teams to speed up build iterations.
Provide actionable insights to GPU architects regarding current and modeled performance for future builds.
Improve daily workflows for chip architects to support the development of next-generation GPUs.

What we're looking for

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 (preferred).
Experience with chip and/or system simulation/emulation (preferred).
Exposure to GPU/CPU/SoC chip performance verification and/or profiling on simulation/emulation/silicon (preferred).
Familiarity with AI development tools (preferred).
Excellent interpersonal skills.