Principal AI Compiler Engineer

About EnCharge AI

We are seeking a highly skilled Principal AI Compiler Engineer to spearhead the development of graph compilers tailored for cutting-edge AI and ML workloads. You will collaborate directly with hardware architects, semiconductor experts, and researchers to enhance performance and optimize computation graphs for our Inference Accelerators.

Key Responsibilities:

• Architect, design, and implement optimizations for AI model execution on graph compilers to improve performance, reduce latency, and maximize hardware utilization across edge-to-cloud environments.
• Collaborate with ML researchers and software developers to deploy efficient designs for EnCharge's scalable architecture.

Core Duties:

• Develop compiler optimizations and passes that convert high-level AI models (e.g., from TensorFlow, PyTorch) into intermediate representations (IR).
• Implement parsing, semantic analysis, and IR generation for deep learning frameworks.
• Research and integrate the latest advancements in compiler design, ML model optimizations, and hardware acceleration such as fusion, quantization, and tiling.

Leadership Role:

You will provide technical guidance to a team of engineers focused on graph compiler optimizations while driving successful project delivery for our semiconductor startup initiatives.