Edge AI Kernel Intern: Optimize Inference on a GPNPU

quadric; Burlingame (CA); On-site; USD 69,000 - 79,000; Part time

Benefits offered by this job

Catered lunch

Downtown Burlingame office

Work culture focused on innovation

Mentorship & project ownership

Job summary

Quadric is seeking an AI Kernel Engineer Intern to help enable AI/LLM models to run efficiently on our GPNPU platform. You will work with senior engineers to develop, profile, and optimize kernels and C/C++ code, contributing to the AI inference stack.

Based in Burlingame, CA, the internship favors candidates who can work on‑site in the Bay Area. The role provides mentorship, project ownership, and exposure to cutting‑edge edge‑AI hardware in a collaborative environment.

Qualifications

• 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.
• Solid foundational understanding of computer architecture and hardware‑software interaction.
• Demonstrated capability in problem‑solving, debugging, and clear technical communication.

Responsibilities

• Develop & Implement: Assist in developing AI/LLM kernels and operators on the Quadric platform for efficient inference.
• Analyze & Profile: Help profile kernel performance across compute, data, and parallelism to identify micro‑architecture and software bottlenecks.
• Code Optimization: Work alongside senior engineers to optimize C/C++ code to maximize hardware utilization for different workloads.
• Collaborate: Partner across related areas of the AI inference stack to support team priorities and business goals.
• Toolchain Contribution: Contribute to improvements in the Quadric toolchain, compiler, and runtime.
• What Success Looks Like: Build understanding of kernel development and optimization for a GPNPU; contribute kernel work; gain hands‑on profiling and optimization experience.

Skills

C/C++

Python

Computer architecture

Problem solving

Education

Bachelor's/Master's/PhD in CS or EE

Tools

CUDA

DSP

NEON

Triton-lang

Assembly language

Job description

Quadric is seeking an AI Kernel Engineer Intern to help enable AI/LLM models to run efficiently on our GPNPU platform. You will work with senior engineers to develop, profile, and optimize kernels and C/C++ code, contributing to the AI inference stack.

Based in Burlingame, CA, the internship favors candidates who can work on‑site in the Bay Area. The role provides mentorship, project ownership, and exposure to cutting‑edge edge‑AI hardware in a collaborative environment.