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 collaborative 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
• Strong 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