AI Compiler Engineer II - Embedded NN Acceleration

Cadence Design Systems; Austin (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive benefits

Hybrid work model

Job summary

Cadence Design Systems in Austin is searching for a passionate Software Engineer II: AI Compiler Engineer to contribute to developing a deep learning compiler stack. This role involves working on complex SoCs and optimizing neural network models created in frameworks like TensorFlow and PyTorch.

The ideal candidate will bring strong C and C++ programming skills, with 3-5 years of experience in compiler development and a solid foundation in Linux and Windows software environments. This position offers hybrid work and competitive benefits.

Qualifications

• 3-5+ years of experience in C and C++ programming.
• Experience with compiler development and optimization techniques.
• Expertise in software development on Linux and Windows.

Responsibilities

• Developing a deep learning compiler stack for neural network descriptions.
• Using modern compiler frameworks such as LLVM and MLIR.
• Benchmarking end-to-end network performance on various platforms.

Skills

C programming

C++ programming

Compiler development

Linux software development

Windows software development

Neural network frameworks

Embedded systems programming

Education

Bachelor in Computer Science or Computer Engineering

Tools

LLVM

MLIR

TensorFlow

Caffe

Job description

Cadence Design Systems in Austin is searching for a passionate Software Engineer II: AI Compiler Engineer to contribute to developing a deep learning compiler stack. This role involves working on complex SoCs and optimizing neural network models created in frameworks like TensorFlow and PyTorch.

The ideal candidate will bring strong C and C++ programming skills, with 3-5 years of experience in compiler development and a solid foundation in Linux and Windows software environments. This position offers hybrid work and competitive benefits.