Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.

Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. This team is responsible to rapidly bring up state-of-the-art open-source models (like LLaMA, Qwen, etc) or customer-provided proprietary models on our Cerebras CSX systems. Success in this role requires a system-minded generalist who thrives in quick-paced bringup environments and is comfortable working across the entire Cerebras software stack.

Your work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications.

Contribute to the end-to-end bring up of ML models on Cerebras CSX systems.

Work across the stack: model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning.

Debug performance and correctness issues spanning model code, compiler IRs, runtime behavior, and hardware utilization.

Bachelor’s, Master’s,



or PhD in Computer Science, Engineering, or a related field.

Comfort navigating the full AI toolchain: Python modeling code, compiler IRs, performance profiling, etc.

Strong debugging skills across performance, numerical accuracy, and runtime integration.

Proficiency in C/C++ programming and experience with low-level optimization.

Strong background in optimization techniques, particularly those involving NP-hard problems.

Competitive salary and benefits package.

The chance to work on cutting-edge technologies and make a significant impact on the future of AI.

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. Build a breakthrough AI platform beyond the constraints of the GPU.

Publish and open source their cutting-edge AI research.

Work on one of the fastest AI supercomputers in the world.

Our simple, non-corporate work culture that respects individual beliefs.

We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them. #

📌 Full Stack Machine Learning Developer (Toronto)
🏢 Fdetimes
📍 Toronto