Skip to main contentWhat we need to see:Pursuing or recently completed a M.S. or PhD in Computer Science, Computer Engineering, Electrical Engineering, or a related field or equivalent experience (recent graduate or graduating by summer 2026)Foundation in computer architecture and AI workload accelerationProgramming skills in C++ and PythonCoursework or project experience in performance modeling, hardware simulation, or verificationStrong communication skills for working across multi-functional teamsWays to stand out from the crowd:Experience with SystemC or other hardware modeling frameworksResearch in GPU architecture or AI accelerationHands-on experience with CUDA or other accelerated computing programming modelsContributions to hardware or architecture projects (academic or open source)Familiarity with profiling tools or performance analysisNVIDIA is widely considered one of the technology world's most desirable employers. We work on problems that matter - and we do it with some of the most skilled engineers in the world. If you're analytically sharp, intellectually curious, and ready to have real impact, we want to hear from you.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD for Level 2, and 152,000 USD - 241,500 USD for Level 3. You will also be eligible for equity and benefits .Applications for this job will be accepted at least until June 13, 2026. This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.Additional Information
NVIDIA's GPU Architecture Group seeks new college graduates to join the team that designs and validates GPU profiling and performance telemetry features. You'll contribute to hardware modeling, test development, and infrastructure - with increasing opportunities to influence the design of the world's leading AI platform.
Join our tight group spanning architecture, ASIC design, performance engineering, drivers, and tools to become a part of the extreme hardware-software codesign process that makes NVIDIA's world-leading AI platform possible!
Your Match
How well this role fits your profile.
Interested in this role?
Apply on the company's website.
Nvidia · Santa Clara, CA