Hybrid AI Graph Compiler Engineer for Embedded SoCs

Cadence Design Systems, Inc.; Austin (TX); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Competitive benefits

Hybrid work arrangement

Job summary

Cadence Design Systems, Inc. in Austin, Texas, is seeking a motivated Software Engineer II: AI Compiler Engineer. In this role, you will develop deep learning compiler stacks for converting neural network models into optimized code for embedded platforms. You'll work with advanced C++ programming and modern compiler frameworks.

The ideal candidate holds a Bachelor's degree in Computer Science and possesses strong expertise in software development on Linux and Windows. The position offers a hybrid work arrangement and competitive benefits.

Qualifications

• Complete Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience.
• 3-5+ years of experience with advanced C and C++ programming.
• Expertise in software development on Linux and Windows systems.

Responsibilities

• Develop a deep learning compiler stack for neural networks.
• Use modern compiler frameworks such as LLVM and MLIR.
• Benchmark network performance on DSP and special-purpose platforms.

Skills

C/C++ programming

Software development on Linux

Compiler frameworks (LLVM, MLIR)

Education

Bachelor’s degree in Computer Science or equivalent experience

Tools

Testing tools

Debugging tools

Job description

Cadence Design Systems, Inc. in Austin, Texas, is seeking a motivated Software Engineer II: AI Compiler Engineer. In this role, you will develop deep learning compiler stacks for converting neural network models into optimized code for embedded platforms. You'll work with advanced C++ programming and modern compiler frameworks.

The ideal candidate holds a Bachelor's degree in Computer Science and possesses strong expertise in software development on Linux and Windows. The position offers a hybrid work arrangement and competitive benefits.