Staff Generative AI Engineer developing production - grade AI applications for business value across the organization. Collaborating with engineers, scientists, and product teams to deliver scalable solutions.
About the role
- Engineer joining Cerebras to rapidly deploy AI models on proprietary CSX systems. Focused on debugging and enhancing model performance in a dynamic, innovative environment.
Responsibilities
- 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.
- Propose and prototype improvements across tools, APIs, or automation flows to accelerate future bring ups.
Requirements
- 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.
- Experience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion)
- Proficiency in C/C++ programming and experience with low-level optimization
- Proven experience in compiler development, particularly with LLVM and/or MLIR
- Strong background in optimization techniques, particularly those involving NP-hard problems.
Benefits
- Competitive salary and benefits package
- Opportunities for professional growth and career advancement
- A dynamic and innovative work environment
- The chance to work on cutting-edge technologies and make a significant impact on the future of AI.
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