Principal AI Compiler Engineer

About the Role

EnCharge AI is seeking a highly skilled Principal/Staff-level AI Compiler Engineer to lead efforts in developing and optimizing graph compilers for cutting-edge AI and ML workloads. This role involves close collaboration with hardware architects, researchers, and software developers to enhance performance, optimize computation graphs, and enable efficient model deployment on EnCharge's Inference Accelerators.

Key Responsibilities:

• Architecting, designing, and implementing optimizations for AI model execution on graph compilers to maximize hardware utilization while reducing latency.
• Liaising with ML researchers and engineers to design/deploy AI models and address specific hardware challenges.
• Developing compiler passes that convert high-level AI models (e.g., TensorFlow, PyTorch) into intermediate representations (IR).
• Implementing parsing, semantic analysis, and IR generation pipelines for deep learning frameworks.
• Integrating latest advancements in compiler design, ML optimizations, and hardware acceleration.
• Providing leadership, mentorship, and technical guidance to engineering teams focused on graph compiler optimization.