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AI Kernel Engineer

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Quadric
Full Time position
Listed on 2026-05-09
Job specializations:
  • Software Development
    AI Engineer, Embedded Software Engineer, Software Engineer, C++ Developer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other NPUs or neural network accelerators in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

Role

The AI Kernel Engineer in Quadric plays the key role to enable a large number of AI kernels/operators to run efficiently on the Quadric platform. The AI Kernel Engineer at Quadric will [1] develop a highly efficient Quadric kernel library for a variety of AI/LLM models; [2] analyze the performance and optimize the kernel for different hardware configurations;
This senior technical role demands deep knowledge of hardware architecture, compiler toolchain and optimization techniques.

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
  • Make improvement 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
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
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