Machine Learning Compiler
Drive innovation in ML compiler optimization algorithms, leveraging advanced mathematics, programming language theory, and modern compiler techniques. Oversee feature design, code reviews, and integration of compiler components into the AI software stack. Ensure robust testing, profiling, and performance tuning across diverse ML models and hardware targets. Bachelor's degree in Computer Science, Electrical Engineering, or related field and 10+ years of relevant experience; OR Master's degree and 8+ years of experience; OR Ph.D. and 6+ years of experience in compiler development, ML systems, or related areas. Strong background in compiler design (LLVM, optimization passes, IR transformations). Expertise in ML frameworks (PyTorch, ONNX) and graph-level optimizations. Familiarity with ML hardware accelerators, memory hierarchies, and performance modeling. Solid C++ programming skills Proven ability to lead teams and deliver complex software projects in fast-paced environments Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 6+ 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 5+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
