End-to-End LLM Model Bringup Engineer

Cerebras Systems; Toronto; On-site; CAD 100,000 - 150,000; Full time

Job summary

Cerebras Systems seeks an experienced engineer for its Inference Core Model Bringup team, focusing on implementing cutting-edge ML models on Cerebras CSX systems. Candidates should have a strong background in AI toolchains, deep learning frameworks, and performance optimization. Join us to push the boundaries of AI technology and work in a dynamic environment that champions innovation and collaboration.

Benefits

Competitive salary and benefits package

Opportunities for professional growth

Dynamic and innovative work environment

Impact on groundbreaking AI technologies

Qualifications

• Strong debugging skills across performance, numerical accuracy, and runtime integration.
• Experience with deep learning frameworks like PyTorch, TensorFlow.
• Proficiency in C/C++ programming and compiler development.

Responsibilities

• Contribute to the end-to-end bring up of ML models on Cerebras CSX systems.
• Work across the stack from model architecture translation to performance tuning.
• Debug performance and correctness issues spanning model code and runtime behavior.

Skills

Python modeling code

Performance profiling

Debugging skills

Deep learning frameworks

Low-level optimization

Compiler development

Optimization techniques

Education

Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field

Job description

Cerebras Systems seeks an experienced engineer for its Inference Core Model Bringup team, focusing on implementing cutting-edge ML models on Cerebras CSX systems. Candidates should have a strong background in AI toolchains, deep learning frameworks, and performance optimization. Join us to push the boundaries of AI technology and work in a dynamic environment that champions innovation and collaboration.