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AI Kernel Engineer (New Grad) at Quadric in Burlingame, CA
Skills
Job Description
Quadric has created an innovative software driven AI inference processor. Licensed as IP, the architecture is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other neural engines in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.
Role
The AI Kernel Engineer (New Grad) at Quadric plays a key role in enabling a large number of AI kernels and operators to run efficiently on the Quadric platform. In this role, you will [1] develop a highly efficient Quadric kernel library for a variety of AI/LLM models; [2] analyze performance and optimize kernels for different hardware configurations. This technical role demands a strong foundational knowledge of hardware architecture, software optimization, and the hardware-software interface. This role is based in our Burlingame, California office. We believe strong technical collaboration, rapid iteration, and shared problem-solving are best supported by working together in person. As such, this role follows a hybrid schedule with at least two in-office days per week expected.
Responsibilities
- Develop AI/LLM kernels and operators on the Quadric platform for efficient inference.
- Optimize 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++ code to maximize hardware utilization.
- Collaborate across related areas of the AI inference stack to support team and business priorities.
- Make improvements to the Quadric toolchain, compiler, and runtime.
- Provide technical support and documentation to customers and the developer community.