Senior Software Engineer - Graph Compiler

Blaize provides a full-stack programmable processor architecture suite and low code/no-code software platform that enables AI processing solutions for high performance computing at the network s edge and in the data center. Blaize solutions deliver real-time insights and decision-making capabilities at low power consumption, high efficiency, minimal size, and low cost. Blaize has raised over $330 million from strategic investors such as DENSO, Mercedes-Benz AG, Magna, and Samsung and financial investors such as Franklin Templeton, Temasek, GGV, Bess Ventures, BurTech LP LLC, Rizvi Traverse, and Ava Investors. Headquartered in El Dorado Hills (CA), Blaize has more than 200 employees worldwide with teams in San Jose (CA), Cary (NC), and subsidiaries in Hyderabad (India), Leeds and Kings Langley (UK), and Abu Dhabi (UAE).

• Design, develop, and optimize graph compilers for machine learning models.
• Implement compiler optimizations such as operator fusion, memory management, and code generation.
• Develop and optimize kernels in Clang C++ (Clcpp) and assembly for neural networks.
• Collaborate with hardware engineers to integrate and optimize code for native parallel processing hardware.
• Analyze and improve the performance of ML models on Blaize hardware platforms.
• Maintain and extend existing compiler infrastructure.

• A bachelor s/master s degree in computer science
• 5+ years hands-on experience in software development

1. Strong experience in C++ programming, including modern C++ standards (C++11/14/17).
2. Hands on experience on Python
3. Strong understanding of algorithms and data structures.
4. Experience with debugging and profiling tools to analyze and optimize code performance.
5. Hands on experience in any of the ML graph compiler framework.
6. Experience in developing and optimizing kernels in Clang C++ (Clcpp) and assembly is a plus
7. Knowledge of native parallel processing hardware architectures and optimization techniques is a plus

• Experience on C/C++, Python, LLVM, OpenCLC++, ML framework

• Strong analytical skills and ability to approach complex problems methodically
• Ability to work independently and collaborate effectively with the teams

• Strong written and verbal communication skills
• Ability of explain complex technical concepts to non-technical stakeholders