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 setting, 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 visualizationRequirements:
- 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 PythonBring your expertise in optimization and AI to Cerebras, where you’ll be part of transformative technology.#J-18808-Ljbffr

📌 Cerebras Ai Optimization Engineer (Toronto)
🏢 Cerebras
📍 Toronto