Manager Kernel Software

Responsibilities

• Develop design specifications for new machine learning and linear algebra kernels and map them to the Cerebras WSE System using parallel programming algorithms.
• Develop and debug highly optimized kernel-library routines using low-level assembly instructions and the C-like Cerebras Software Language (CSL), targeting Cerebras hardware.
• Use mathematical models and analysis to measure software performance and inform design decisions.
• Develop and integrate unit and system testing methodologies to verify the functionality and performance of kernel libraries.
• Study emerging machine learning applications and evolve kernel-library architecture to address computational challenges in state-of-the-art neural networks.
• Interact with chip and system architects to optimize instruction sets, microarchitecture, and I/O for next-generation systems.

Requirements

• Bachelor's, master's, PhD, or foreign equivalent degree in Computer Science, Computer Engineering, Mathematics, or a related field.
• Proven experience leading technical teams, including mentoring engineers, setting technical direction, and driving execution.
• Strong understanding of hardware architecture concepts and willingness to learn new system architectures.
• Proficiency in C++ and Python, with experience in low-level systems programming.
• Familiarity with library/API development best practices and performance optimization.
• Excellent debugging skills across complex, layered software stacks.

Preferred Qualifications

• Experience leading teams in kernel development, performance optimization, or low-level systems programming.
• Strong background in parallel algorithms and distributed memory systems.
• Hands-on experience with accelerators such as GPUs, FPGAs, or custom hardware.
• Familiarity with machine learning workloads and frameworks such as TensorFlow and PyTorch.
• Understanding of HPC kernels and optimization strategies for modern architectures.