Join Cerebras Systems as an AI Optimization Engineer. This role involves maximizing the performance of AI models on cutting-edge hardware, focusing on efficiency and computational speed.
You will analyze and characterize state-of-the-art AI models, identifying performance bottlenecks and suggesting improvements. Your contributions will directly impact the evolution of Cerebras’ next-generation AI architecture and software. Ideal candidates thrive in a cooperative workplace, eager to engage with groundbreaking AI technologies.
Key Responsibilities:
Optimize and debug performance for Cerebras WSE
Build comprehensive performance models for customer ML frameworks
Enhance kernel micro code to boost ML inference speed
Assess runtime performance across the system




Develop infrastructure for effective performance data visualization
Requirements:
Bachelor’s/Master’s/PhD in Electrical Engineering or Computer Science
3+ years' experience in performance analytics or optimization
Background in CPU/GPU simulators and low-level deep learning
Robust analytical mindset and problem-solving skills
Comfort with programming in C++ and Python
Bring your expertise in optimization and AI to Cerebras, where you’ll be part of transformative technology.
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📌 Cerebras Ai Optimization Engineer Toronto
🏢 Cerebras
📍 Toronto