AI Kernel Engineer Intern

quadric•Burlingame, CA
•Onsite

About The Position

Quadric is hiring an AI Kernel Engineer Intern to help enable AI and LLM models to run efficiently on its GPNPU platform. Working closely with senior AI Kernel Engineers, the intern will develop, profile, and optimize kernel code and contribute to the performance of Quadric’s AI inference stack. The role involves hands-on work with hardware architecture and optimization techniques, and may also contribute to the toolchain, compiler, and runtime. Quadric prefers the internship to be based at its downtown Burlingame, California office. Candidates should be based in the Bay Area or able to relocate for the internship period, and available to work onsite. The temporary position pays $50–$57 per hour; the actual offer depends on factors including role level, relevant experience, and technical skills. Interns receive mentorship and meaningful project ownership while working alongside experts in AI and semiconductor technology.

Requirements

  • Currently pursuing a bachelor's, master's, or PhD degree in computer science, electrical engineering, or a related field.
  • Strong proficiency in C/C++ and Python.
  • Solid foundational understanding of computer architecture and hardware-software interaction.
  • Demonstrated problem-solving and debugging capability, and clear technical communication.
  • For the preferred Burlingame office arrangement, be based in the Bay Area or able to relocate for the internship period and available to work onsite.

Nice To Haves

  • Academic or project experience with model and kernel inference performance profiling.
  • Exposure to or experience with compute development frameworks such as CUDA, DSP, NEON, or Triton-lang.
  • Familiarity with assembly language.
  • Previous internship experience in a hardware-oriented software role or AI/ML optimization.

Responsibilities

  • Assist in developing AI and LLM kernels and operators on the Quadric platform for efficient inference.
  • Profile kernel performance across compute, data, and parallelism to identify microarchitecture and software bottlenecks.
  • Work with senior engineers to optimize C/C++ code and maximize hardware utilization across workloads.
  • Collaborate with related areas of the AI inference stack to support team priorities and business goals.
  • Contribute to improvements in the Quadric toolchain, compiler, and runtime.

Benefits

  • Catered lunch each day at the downtown Burlingame office.
  • Mentorship and meaningful project ownership from day one.
  • Hands-on experience working alongside industry experts in AI and semiconductor technology.
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