AI Compiler Engineer

NextSilicon is reimagining high-performance computing (HPC & AI). Our accelerated compute solutions leverage intelligent adaptive algorithms to vastly accelerate supercomputers, driving them forward into a new generation. We have developed a novel software-defined hardware architecture that is achieving significant advancements in both the HPC and AI domains.

At NextSilicon, everything we do is guided by three core values:

• Professionalism: We get exceptional results through professionalism and unwavering dedication to quality and performance.

• Unity: Collaboration is key to success; we foster a work environment where every employee feels valued and heard.

• Impact: We're passionate about developing technologies that make a meaningful impact on industries, communities, and individuals worldwide.

The AI software team is building solutions that enable the latest AI models and workflows to run efficiently on NextSilicon’s unique hardware architecture-unlocking a new level of performance.

Our team is looking for a skilled professional to join the AI software group. In this role, you will focus on our AI kernel compilers, ensuring our hardware delivers peak optimization for sophisticated and custom AI kernels. You will work extensively with various kernel infrastructures, including Triton and CUDA, while collaborating closely with our AI graph compiler teams.

Requirements:

• B.Sc. degree in software engineering, computer science, or a related field.

• 7+ years of experience in C/C++ programming for distributed and complex systems.

• Proficiency in Python programming.

• Experience with ML accelerators and AI compilers — advantage.

• Experience with Triton, CUDA or MLIR-based compiler frameworks — advantage.

Responsibilities:

• Develop our AI kernel compilers and related components in the SW stack.

• Drive the performance optimization of AI models running on our unique architecture.