Description
Join NVIDIA's GPU Performance Infrastructure team as a System Software Engineer - Performance Verification Infrastructure. You'll be part of a new journey in validating and shipping next-generation GPU architectures. This role influences 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.
- Collaborate with GPU architects to craft infrastructure for performance verification of upcoming architectures.
- Work with hardware teams to automate and accelerate verification workflows, enabling faster GPU build iteration.
- Provide insights to GPU architects to understand current performance and model industry-leading performance for future builds.
- Improve daily workflows for top chip architects, contributing to the creation of the next 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 computer science fundamentals, including data structures, algorithms, object-oriented programming, and system design.
- Verilog basics are a strong plus.
- Experience with chip and/or system simulation/emulation is 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.
Benefits:
- Equity
- Benefits package
This listing is enriched and indexed by YubHub. To apply, use the employer's original posting:
https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/System-Software-Engineer---Performance-Verification-Infrastructure_JR2021574