8 days ago
Santa Clara, CA, USAMid Level / Senior
H1B Sponsor
Base Salary
$124k - $242k/yr
Responsibilities
- Build and develop end-to-end GPU performance verification infrastructure.
- Build scalable data pipelines that surface performance metrics from simulation, emulation, and silicon environments.
- Coordinate with GPU architects to create infrastructure for verifying upcoming GPU architectures.
- Partner with hardware teams to automate and accelerate verification workflows and GPU build iteration.
- Provide GPU architects with insights into current performance and future performance modeling.
- Improve workflows used by chip architects to support next-generation GPU development.
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 in data structures, algorithms, object-oriented programming, and system design.
- Verilog basics are preferred.
- Experience with chip or system simulation or emulation is preferred.
- Exposure to GPU, CPU, or SoC performance verification or profiling across simulation, emulation, or silicon environments is preferred.
- Familiarity with AI development tools and excellent interpersonal skills are preferred.
Benefits
- Hybrid work arrangement.
- Eligibility for equity and benefits.
- Applications accepted at least until August 30, 2026.
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.