Director/Sr. Manager, AI Inference Model Scaling
Cerebras · Sunnyvale, CA
CHECKED 8H AGO
Infrastructureremotedirector
At a glance
Highlights
- Enable state-of-the-art foundation models on the world's largest AI chip.
- Deliver 10x faster inference for real-time AI applications.
- Shape the future of AI inference via hardware/software co-design at scale.
Ideal candidate
Experienced engineering leader passionate about high-performance AI systems and hardware-software co-design. Thrives scaling global teams and shipping production ML infrastructure at pace.
Requirements
- BS, MS, or PhD in Computer Science, Computer Engineering or related field
- 12+ years building compiler, ML systems, or infrastructure software
- 5+ years leading engineering teams
- Deep experience with modern compiler infrastructure (LLVM, MLIR, XLA, TVM, Torch FX)
- Strong understanding of graph compilation and optimization
- Experience with Python and C++ delivering production-quality software
- Strong communication and cross-functional leadership skills
- remote policy
- hybrid
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed