Cerebras
Director/Sr. Manager, AI Inference Model Scaling
Sunnyvale, CA · Hybrid · Director · Full-time · Posted Jul 23, 2026
- Experience
- 12+ years building compiler, ML systems, or infrastructure software; 5+ years leading engineering teams.
- Education
- BS, MS, or PhD in Computer Science, Computer Engineering or related field.
About the job
Leads the organization that compiles and optimizes machine-learning models and develops high-performance kernels for inference on Cerebras hardware.
What you'll do
- Set technical strategy and roadmap for model compilation, optimization, and support for emerging LLM architectures and inference workloads.
- Hire, mentor, and scale engineering teams; guide organizational planning and execution.
- Coordinate with platform, ML, hardware, product, and customer teams to deliver model enablement across cloud and on-premise settings.
What they ask for
- BS, MS, or PhD in Computer Science, Computer Engineering, or a related field.
- 12+ years building compiler, ML systems, or infrastructure software; 5+ years leading engineering teams.
- Deep experience with modern compiler infrastructure and strong understanding of graph compilation and optimization.
- Experience with Python and C++, and delivering production-quality software.
Nice to have
- Experience building compiler frontends for AI accelerators or supporting PyTorch, JAX, TensorFlow, or ONNX.
- Experience with LLM inference or training systems, distributed compilation, hardware architects, or leading teams through rapid growth.
Tools
LLVM, MLIR, XLA, TVM, Torch FX, Python, C++, PyTorch
AI focus
Enables foundation models and generative AI workloads to run efficiently on Cerebras hardware, including LLM inference and emerging model architectures.
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