Kernel Engineer - New Grad
Cerebras · Sunnyvale, CA
CHECKED 8H AGO
Infrastructureremoteentry-level
At a glance
Highlights
- Build kernels for the world's largest AI chip, 56x larger than GPUs.
- Optimize ML and linear algebra operations for the Wafer-Scale Engine.
- Maximize compute utilization to deliver 10x faster AI training and inference.
Ideal candidate
A curious new graduate fascinated by computer architecture and performance who loves digging into low-level systems and learning how hardware works. Collaborative, analytical, and excited to shape foundational AI computing.
Requirements
- Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or related field
- Strong programming fundamentals in C++ and familiarity with Python
- Understanding of foundational computer architecture concepts including processors, memory hierarchies, and data movement
- Knowledge of data structures, algorithms, and software development fundamentals
- Experience debugging software through coursework, internships, research, or technical projects
- Strong analytical and problem-solving skills with interest in low-level software and parallel computing
- Ability to learn unfamiliar systems and collaborate effectively within a technical team
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed