AI Kernel Engineer

Quadric is seeking a highly skilled AI Kernel Engineer to play a pivotal role in optimizing AI/LLM models to run with exceptional efficiency on the Quadric platform. This senior technical role involves developing a robust and high-performance kernel library tailored for various AI and LLM models, analyzing and optimizing kernel performance across different hardware configurations, and identifying performance bottlenecks at both micro-architectural and software levels. Responsibilities include profiling and analyzing kernel performance in terms of compute, data, and parallelism, optimizing C/C++ code to maximize hardware utilization, and enhancing the Quadric toolchain, compiler, and runtime. Collaboration with cross-functional teams and providing technical support to customers and the developer community are also key aspects of this role. A strong understanding of hardware architecture, compiler toolchains, and optimization techniques is essential. The ideal candidate will have a Bachelor’s or Master’s degree in Computer Science and/or Electrical Engineering, with over 5 years of experience in AI kernel development and optimization, including proficiency with model and kernel inference performance profiling. Experience with compute development frameworks such as CUDA, DSP, NEON, or Triton-lang, along with strong C/C++ and Python skills, is required. Experience with assembly language is a plus. Demonstrated problem-solving, debugging, and communication skills are expected. Quadric offers competitive salaries, meaningful equity, a collaborative and impact-driven community, and opportunities for long-term career growth and personal relationships.