Quadric
AI Kernel Engineer Intern
Burlingame, CA (HQ) · On-site · Internship · Posted Oct 23, 2026
- Education
- Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field.
- Visa sponsorship
- Quadric participates in E-Verify to confirm employment eligibility for U.S.-based roles.
About the job
Develop and optimize AI/LLM kernels and operators for efficient inference on Quadric’s GPNPU platform.
What you'll do
- Develop and implement AI/LLM kernels and operators; profile their performance and identify bottlenecks.
- Optimize C/C++ code for hardware utilization across different workloads.
- Contribute to improvements in the toolchain, compiler, and runtime, collaborating across the AI inference stack.
What they ask for
- Currently pursuing a Bachelor's, Master's, or PhD in Computer Science, Electrical Engineering, or a related field.
- Strong proficiency in C/C++ and Python.
- Foundational understanding of computer architecture and hardware-software interaction.
- Capability in problem-solving, debugging, and clear technical communication.
Nice to have
- Academic or project experience with model and kernel inference performance profiling; exposure to CUDA, DSP, NEON, or Triton-lang.
- Familiarity with assembly language or previous internship experience in a hardware-oriented software role or AI/ML optimization.
Pay
$50-57/hr USD, hourly salary
Tools
C/C++, Python, CUDA, DSP, NEON, Triton-lang
AI focus
Developing, profiling, and optimizing AI/LLM kernels and operators for AI inference on Quadric’s GPNPU platform.
Model-written summary · the original posting is authoritative