AI Hardware Kernel Performance Engineer

Cerebras; Sterling (VA); On-site; USD 100,000 - 150,000; Full time

Job summary

Cerebras is seeking a Kernel Engineer to develop high-performance software solutions for AI and HPC workloads. This role focuses on optimizing deep learning operations to leverage our groundbreaking processor architecture. You will work on design, performance tuning, and validation of ML and HPC kernels, crucial for pushing the boundaries of AI.

Join us in transforming the AI landscape at Cerebras, where innovation meets a collaborative environment. Candidates will need strong C++ and Python skills, along with an educational background in computer science or related fields.

Qualifications

• Understanding of hardware architecture concepts.
• Strong debugging skills.
• Familiarity with machine learning neural networks and frameworks.

Responsibilities

• Develop design specifications for machine learning and linear algebra kernels.
• Develop and debug optimized kernel library routines.
• Measure software performance and inform design decisions.

Skills

C++ Programming

Python Programming

Debugging Skills

Hardware Architecture Understanding

Library/API Development

Education

Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Mathematics

Job description

Cerebras is seeking a Kernel Engineer to develop high-performance software solutions for AI and HPC workloads. This role focuses on optimizing deep learning operations to leverage our groundbreaking processor architecture. You will work on design, performance tuning, and validation of ML and HPC kernels, crucial for pushing the boundaries of AI.

Join us in transforming the AI landscape at Cerebras, where innovation meets a collaborative environment. Candidates will need strong C++ and Python skills, along with an educational background in computer science or related fields.