AI Performance Engineer

Location: On-site at the Sunnyvale headquarters or Toronto office

Company

hirify.global Systems develops large-scale AI hardware and software based on its Wafer Scale Engine architecture for high-speed model training and inference.

What you will do

• Bring up and optimize performance on new generations of the hirify.global Wafer Scale Engine.
• Build kernel-level and end-to-end performance models for state-of-the-art and customer machine learning models.
• Optimize and debug kernel microcode and compiler algorithms to improve inference speed, throughput, and compute utilization.
• Debug and analyze runtime performance across systems and compute clusters.
• Develop tools and infrastructure to visualize performance data from the Wafer Scale Engine and compute clusters.

Requirements

• Bachelor’s, master’s, or PhD degree in Electrical Engineering or Computer Science.
• Strong background in computer architecture.
• Understanding of low-level deep learning and LLM mathematics.
• At least 3 years of relevant experience in computer architecture, CPU/GPU performance, kernel optimization, or HPC.
• Experience with CPU/GPU simulators and performance profiling or debugging of system pipelines.
• Comfortable programming in C++ and Python, with strong analytical and problem-solving skills.

Culture & Benefits

• Opportunity to build an AI platform beyond GPU constraints.
• Ability to publish and open-source AI research.
• Work with a high-performance AI supercomputer platform.
• Job stability combined with startup vitality.
• Non-corporate culture focused on individual beliefs, continuous learning, growth, and inclusion.