Kernel Engineer (AI)

Location: US and Canada offices

Company

hirify.global builds large-scale AI accelerator hardware and software for high-performance training and inference workloads.

What you will do

• Design machine learning and linear algebra kernels and map them to the hirify.global Wafer-Scale Engine using parallel programming algorithms.
• Develop, debug, and optimize low-level assembly and custom C-like CSL kernel routines for hirify.global hardware.
• Use mathematical models and performance analysis to guide software and kernel design decisions.
• Build unit and system testing methodologies to verify kernel functionality and performance.
• Study emerging machine learning applications and evolve the kernel library for state-of-the-art neural networks.
• Collaborate with chip and system architects on instruction sets, microarchitecture, and I/O for future systems.

Requirements

• Bachelor’s, Master’s, PhD, or equivalent degree in Computer Science, Computer Engineering, Mathematics, or a related field.
• Understanding of hardware architecture and willingness to learn new hardware systems.
• Strong C++ and Python programming skills.
• Knowledge of library and API development best practices.
• Strong debugging skills and experience with complex software stacks.

Nice to have

• Experience developing or testing kernels.
• Familiarity with parallel algorithms and distributed memory systems.
• Experience programming GPUs or FPGAs.
• Familiarity with machine learning frameworks such as TensorFlow and PyTorch.
• Familiarity with HPC kernel optimization.

Culture & Benefits

• Work on an AI platform designed beyond conventional GPU constraints.
• Opportunities to publish and open-source AI research.
• Work with a high-performance AI supercomputer.
• Job stability combined with startup vitality.
• Non-corporate culture focused on individual respect, learning, growth, and support.