Description
Quadric has created an innovative general purpose neural processing unit (GPNPU) architecture. Quadric's co-optimized software and hardware 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 NPUs or neural network accelerators 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 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 productive 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.

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

Requirements
- 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

📌 AI Kernel Engineer (Pune)
🏢 quadric.io
📍 Pune