> Markdown version of [/jobs/ext/2710728-ai-kernel-engineer](https://www.wearedevelopers.com/jobs/ext/2710728-ai-kernel-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Kernel Engineer - **Company:** quadric.io, Inc - **Location:** Burlingame, CA, United States - **Experience:** Expert - **Salary:** $110,000.0 - $270,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Assembly Language, C++ (Programming Language), Nvidia CUDA, Microarchitecture, Software Debugging, Python (Programming Language), Linux Kernel, Toolchain, Large Language Models, Information Technology, Optimization Algorithms - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/ai-kernel-engineer-quadricio-inc-7497158 ## About the Role * Bachelor's or Master's in Computer Science and/or Electric 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 ## Description 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. Our preference is for a candidate located in the California Bay Area who can regularly collaborate from our Burlingame office. This role follows a hybrid schedule with at least two in-office days per week expected, but actual schedule may adjust depending on team and business need. We believe strong technical collaboration, rapid iteration, and shared problem-solving are well supported by working together in person. The team and company also gather periodically for onsite meetings and offsite events to connect, collaborate, and align on priorities. 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 * Collaborate across related areas of the AI inference stack to support team and business priorities * Make Improvement to Quadric toolchain, compiler and runtime * Provide technical support and documents to customers and developer community ## Related Videos - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [An Applied Introduction to eBPF with Go](https://www.wearedevelopers.com/videos/1075-an-applied-introduction-to-ebpf-with-go) - [Speeding up Web Apps performance with WebAssembly and Emscripten](https://www.wearedevelopers.com/videos/1985-speeding-up-web-apps-performance-with-webassembly-and-emscripten) - [Gentle Introduction to eBPF](https://www.wearedevelopers.com/videos/789-gentle-introduction-to-ebpf) - [Into the hive of eBPF!](https://www.wearedevelopers.com/videos/1199-into-the-hive-of-ebpf) ## Related Articles - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [What’s the latest in NVIDIA CUDA Python](https://www.wearedevelopers.com/magazine/568-what-s-the-latest-in-nvidia-cuda-python) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)