System Software Engineer - Performance Verification Infrastructure
NVIDIAJob Title
System Software Engineer - Performance Verification Infrastructure
Role Summary
The System Software Engineer will design and build end-to-end performance verification infrastructure for next-generation GPU architectures. The role spans early-stage modeling through post-silicon validation and requires close collaboration with GPU architects and hardware teams to automate and accelerate verification workflows.
This position focuses on scalable data pipelines, performance metric collection from simulation/emulation/silicon, and providing actionable insights to improve GPU performance.
Experience Level
Mid-level. Typical candidates have 3+ years of software engineering experience.
Responsibilities
Primary responsibilities include building infrastructure and workflows that enable performance verification across simulation, emulation, and silicon environments.
- Design and implement end-to-end performance verification infrastructure.
- Build scalable data pipelines to gather and process performance metrics from simulation, emulation, and silicon.
- Collaborate with GPU architects to define verification needs for upcoming architectures.
- Work with hardware teams to automate verification workflows and shorten GPU build iteration time.
- Analyze performance data and provide insights to guide architecture and modeling decisions.
- Improve day-to-day workflows for chip architects through tooling and automation.
Requirements
Must-have technical skills and experience for successful performance in this role.
- 3+ years of software engineering experience implementing production-quality code.
- Proficient in C++ and Python.
- Strong computer science fundamentals: data structures, algorithms, OOP, and system design.
- Good interpersonal and communication skills for cross-functional collaboration.
Nice-to-have:
- Basic knowledge of Verilog.
- Experience with chip or system simulation and emulation tools.
- Exposure to GPU/CPU/SoC performance verification or profiling on simulation/emulation/silicon.
- Familiarity with AI development tools.
Education Requirements
Bachelor's or Master's degree in Computer Science or Computer Engineering, or equivalent practical experience.
About the Company
Company: NVIDIA
Headquarters: Santa Clara, California, USA
NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.
