Edge AI Kernel Engineer Intern – On-Site Burlingame

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

Benefits offered by this job

Catered lunch

Downtown Burlingame office

Mentorship & project ownership

Job summary

Quadric, headquartered in Burlingame, CA, offers an AI Kernel Engineer Intern position aimed at hands-on kernel development for a GPNPU-class architecture. You will work with senior engineers to implement, profile, and optimize kernels and operators for efficient AI/LLM inference.

Based in the Bay Area, candidates should be able to relocate for an on-site internship and have strong C/C++ and Python skills, plus a solid grasp of computer architecture.

Qualifications

• 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 AI/LLM kernels and operators on the Quadric platform for efficient inference.
• Profile kernel performance across compute, data, and parallelism to identify micro-architecture bottlenecks.
• Optimize C/C++ code to maximize hardware utilization for various workloads.
• Collaborate across the AI inference stack to support team priorities and goals.
• Contribute to improvements in the Quadric toolchain, compiler, and runtime.
• Build understanding of kernel development for a GPNPU-class architecture.

Skills

C/C++

Python

Computer architecture

Problem-solving

Clear communication

Education

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

Tools

CUDA

Triton-lang

NEON

DSP

Job description

Quadric, headquartered in Burlingame, CA, offers an AI Kernel Engineer Intern position aimed at hands-on kernel development for a GPNPU-class architecture. You will work with senior engineers to implement, profile, and optimize kernels and operators for efficient AI/LLM inference.

Based in the Bay Area, candidates should be able to relocate for an on-site internship and have strong C/C++ and Python skills, plus a solid grasp of computer architecture.