System Software Engineer, Performance Verification Infrastructure

What you'll do

• Build and develop end-to-end performance verification infrastructure.
• Build 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.
• Automate and accelerate verification workflows with hardware teams to enable faster GPU build iterations.
• Provide performance insights to help architects model industry-leading performance for future builds.
• Improve daily workflows for chip architects to support the creation of next-generation GPUs.

What we're looking for

• 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 (preferred).
• Experience with chip and/or system simulation/emulation (preferred).
• Exposure to GPU/CPU/SoC chip performance verification and/or profiling on simulation/emulation/silicon (preferred).
• Familiarity with AI development tools (preferred).
• Excellent interpersonal skills.