Manager kernel software

The role

You will develop high-performance software solutions at the intersection of hardware and software for AI and HPC workloads. You will implement, optimize, and scale deep learning operations to leverage custom massively parallel processor architecture.

What you will do

• Develop design specifications for new machine learning and linear algebra kernels and mapping to the Cerebras WSE System.
• Develop and debug kernel library of highly optimized low level assembly instruction and C-like domain specific language routines.
• Develop and debug high-performance kernel routines in low-level assembly and a custom C-like (CSL) language.
• Use mathematical models and analysis to measure software performance and inform design decisions.
• Develop and integrate unit and system testing methodologies to verify kernel libraries.
• Study emerging trends in Machine Learning applications to evolve Kernel library architecture.
• Interact with chip and system architects to optimize instruction sets, microarchitecture, and IO of next generation systems.

Required qualifications

• Bachelor’s, Master’s, PhD, or foreign equivalent 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.
• Proficiency in C++ and Python.
• Experience with low-level systems programming.
• Familiarity with library/API development best practices and performance optimization.
• Excellent debugging skills across complex, layered software stacks.

Nice to have

• 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 other custom hardware.
• Familiarity with machine learning workloads and frameworks like TensorFlow and PyTorch.
• Understanding of HPC kernels and strategies for optimizing them on modern architectures.

Benefits

• Build a breakthrough AI platform beyond the constraints of the GPU.
• Publish and open source cutting-edge AI research.
• Work on one of the fastest AI supercomputers in the world.
• Job stability with startup vitality.
• Simple, non-corporate work culture that respects individual beliefs.

About the company

Cerebras Systems builds the world's largest AI chip. The company works with leading model labs, global enterprises, and cutting-edge AI-native startups.