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QuadricQuadricBurlingame, CA

AI Kernel Engineer

Develops and optimizes AI/LLM kernels for efficient neural network inference on Quadric's GPNPU platform. Requires 5+ years in AI kernel development, C/C++ proficiency, and experience with compute frameworks like CUDA or DSP.

Salary not listed
Hybrid5+ YOEBackend Engineering

About the role

Responsibilities

  • Develop AI/LLM kernels/operators on Quadric platform for efficient inference
  • Optimize the kernel performance for different hardware configurations and workloads
  • Profile and analyze kernel performance in terms of compute, data and parallelism; identify micro-architecture and software bottlenecks and provide optimization solutions
  • Optimize kernel C/C++ codes, maximize hardware utilization
  • Collaborate across related areas of the AI inference stack to support team and business priorities
  • Make improvements to Quadric toolchain, compiler and runtime
  • Provide technical support and documents to customers and developer community

Requirements

  • Bachelor’s or Master’s 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: CUDA, DSP, NEON, Triton-lang
  • Proficiency in C/C++ and Python, experience with assembly language a plus
  • Demonstrate good capability in problem solving, debug and communication

Benefits

  • Competitive salary and meaningful equity
  • Medical, dental, and vision plan options starting on day one
  • 401(k) retirement plan
  • Flexible paid time off (unlimited, non-accrual)
  • Company-provided lunches and stocked kitchen (in-office)
  • Support for commuting, including monthly parking or Caltrain passes

Skills

C/C++PythonCUDADspNeonTriton-LangAssemblyPerformance ProfilingAi KernelsKernel Optimization

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