Drive model integration projects as a Senior Engineer focused on AI LLMs. Engage in end-to-end processes from architecture translation to runtime optimizations and performance debugging.
Be a vital member of the Inference Core Model Bringup team, responsible for the integration of advanced AI technologies on specialized systems. You will combine your expertise in deep learning frameworks with robust debugging skills to overcome complex challenges ensuring peak performance and efficiency. Your contributions will not only enhance the systems but also transform AI applications as a whole.
Key Responsibilities:
- Spearhead bringing ML models on Cerebras systems
- Enhance model architecture and runtime efficiencies
- Diagnose issues in compilers and hardware interactions
- Develop new tools and API enhancements for smoother workflows
Requirements:
- Bachelor's, Master's, or PhD in Computer Science or related
- Expertise in Python, C/C++, and various deep learning frameworks
- In-depth debugging capabilities focusing on performance
- Proven experience with LLVM/MLIR compiler technologies
- Strong grasp of optimization strategies for complex systems
Utilize your engineering skills to revolutionize the AI landscape through effective model integration and performance tuning strategies.
Senior LLM Integration Engineer in Toronto employer: Cerebras
Cerebras Systems is an exceptional employer for those passionate about advancing AI technology, offering a unique opportunity to work on the world's largest AI chip in a dynamic and innovative environment. With a strong emphasis on employee growth, a non-corporate culture that values individual beliefs, and the chance to contribute to groundbreaking projects alongside leading enterprises and startups, Cerebras fosters a collaborative atmosphere where engineers can thrive and make a meaningful impact. Join us to be part of a team that not only pushes the boundaries of AI but also prioritizes job stability and continuous learning.
