Senior AI Graph Compiler Architect

Mulya Consulting; United States; Hybrid; USD 26,000 - 54,000; Full time

Job summary

EnCharge AI is seeking an AI Compiler Engineer to lead the development and optimization of graph compilers for cutting-edge AI workloads. You will collaborate with hardware architects and researchers to enhance performance and enable efficient deployment on EnCharge’s Inference Accelerators.

The role demands strong expertise in AI/ML compilers, experience with MLIR and Torch-FX, and a track record of leading engineering teams. A Ph.D. is preferred but not required for strong candidates.

Qualifications

• Strong background in AI/ML graph compilers and compiler design.
• Experience leading and mentoring engineering teams.
• Proficiency in C++, Python, or similar languages.

Responsibilities

• Architect and optimize AI model execution on graph compilers to boost performance and reduce latency.
• Collaborate with hardware architects, ML researchers, and software teams to deploy AI models on accelerators.
• Develop compiler optimization passes converting high-level models to IR and enable efficient code generation.

Skills

AI graph compiler

MLIR

Torch-FX

C++

Python

Leadership

Education

Bachelor's or Master’s degree

Ph.D. preferred

Tools

MLIR

Torch-FX

Job description

EnCharge AI is seeking an AI Compiler Engineer to lead the development and optimization of graph compilers for cutting-edge AI workloads. You will collaborate with hardware architects and researchers to enhance performance and enable efficient deployment on EnCharge’s Inference Accelerators.

The role demands strong expertise in AI/ML compilers, experience with MLIR and Torch-FX, and a track record of leading engineering teams. A Ph.D. is preferred but not required for strong candidates.