AI Kernel Engineer
Develops and optimizes AI and LLM inference kernels for Quadric’s neural processing platform, profiling performance across hardware configurations and improving compiler and runtime components. Requires 5+ years of kernel optimization experience, strong C/C++ and Python skills, and familiarity with CUDA, DSP, NEON, or Triton.
About the job
Responsibilities
- Develop AI/LLM kernels and operators on the Quadric platform for efficient inference.
- Optimize kernel performance for different hardware configurations and workloads.
- Profile and analyze kernel performance across compute, data, and parallelism; identify micro-architecture and software bottlenecks and provide optimization solutions.
- Optimize kernel C/C++ code and maximize hardware utilization.
- Collaborate across related areas of the AI inference stack to support team and business priorities.
- Improve the Quadric toolchain, compiler, and runtime.
- Provide technical support and documentation to customers and the developer community.
Requirements
- Bachelor's or master's degree in Computer Science and/or Electrical Engineering.
- 5+ years of experience in AI kernel development and optimization.
- Experience with model and kernel inference performance profiling.
- Experience with at least one of the following compute development technologies: CUDA, DSP, NEON, or Triton.
- Proficiency in C/C++ and Python.
- Assembly language experience is a plus.
- Strong problem-solving, debugging, and communication skills.
Benefits
- Competitive salary and meaningful equity.
- A politics-free community for people who want to make an immediate impact.
- Opportunities to build long-term career relationships.
- An environment that supports lasting personal relationships alongside professional ones.
Skills
C++, C, Python, CUDA, Dsp, Neon, Triton, Assembly Language, Compiler Toolchain, Runtime Optimization
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