System Software Engineer - Performance Verification Infrastructure

About the role

Join NVIDIA's GPU Performance Infrastructure team and be part of a brand-new journey in validating and shipping next-generation GPU architectures. This role is uniquely positioned to influence the entire lifecycle of GPU performance verification, from early-stage modelling to post-silicon validation.

Responsibilities

• Build and develop end-to-end performance verification infrastructure.
• Create 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

• 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.

Qualifications

• 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.

Skills

• Software engineering skills with C++ and Python.
• Experience with chip and/or system simulation/emulation.
• Understanding of GPU/CPU/SoC chip performance verification and/or profiling.
• Knowledge of Verilog.
• Experience with AI development tools.

Benefits

• Competitive base salary ranging from $124,000 to $195,500 for Level 2, and $152,000 to $241,500 for Level 3.
• Equity and benefits package.

Pay

• Base salary range: $124,000 - $195,500 for Level 2, and $152,000 - $241,500 for Level 3.

Schedule

• Full-time position.

Contact Information

• NVIDIA
• Join NVIDIA's GPU Performance Infrastructure team and be part of a brand-new journey in validating and shipping next-generation GPU architectures.

Application Instructions

• Applications for this job will be accepted at least until August 1, 2026.

Equal Opportunity Employer

• NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.