Machine Learning compiler Engineer – Machine Learning Engineering

Machine Learning compiler Engineer – Machine Learning Engineering

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR Master’s degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
• OR PhD in Computer Science, Engineering, Information Systems, or related field.

Responsibilities

• Work on a wide range of ML compilers
• Improve ML compiler optimization capabilities through benchmark analysis and profiling
• Innovate new ML compiler and optimization algorithms
• Upstream compiler algorithms to open-source compiler projects
• Author research publications and represent the company in conferences and industry forums
• For senior levels – Lead and manage projects while doing substantial technical work

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, Electrical Engineering, or related field.
• Experience with compiler development and computer architecture
• ML experience
• A degree in the field of computer science or applied mathematics
• Experience with software engineering
• Solid intellectual ability, motivation, and a strong history of achievement
• Excellent oral and written communication skills
• Experience with MLIR, MLIR Dialects (LinAlg, Affine), Pytorch 2.0, TVM, Triton, and/or LLVM
• SYCL experience
• ML applications and ML optimization experience
• ML architecture experience
• High performance computing experience
• Polyhedral compiler optimization experience
• Loop transformation and vectorization experience
• GPU programming, parallel programming experience
• General optimization experience