AI Kernel Engineer
Quadric, Inc9 months ago
Pune, IndiaSenior
Responsibilities
- Develop AI and LLM kernels and operators for efficient inference on the Quadric platform.
- Optimize kernel performance across hardware configurations and workloads.
- Profile compute, data movement, and parallelism to identify micro-architecture and software bottlenecks.
- Optimize C/C++ code to maximize hardware utilization.
- Collaborate across the AI inference stack to support team and business priorities.
- Improve the Quadric toolchain, compiler, and runtime.
- Provide technical support and documentation to customers and the developer community.
Requirements
- Bachelor’s or master’s degree in Computer Science and/or Electrical Engineering.
- At least 5 years of experience in AI kernel development and optimization.
- Experience with model and kernel inference performance profiling.
- Experience with at least one of CUDA, DSP, NEON, or Triton-lang.
- Proficiency in C/C++ and Python.
- Assembly-language experience is a plus.
- Strong problem-solving, debugging, and communication capabilities.
Benefits
- Competitive salary and meaningful equity.
- Politics-free community and opportunity to make an immediate impact.
- Opportunity to build long-term career relationships.
- Environment supporting lasting personal and professional relationships.
- Full-time, on-site role in Pune, India.
Categories
About Quadric, Inc
Quadric licenses an AI processor architecture—the Chimera GPNPU—that runs neural-network inference and conventional C++ code on a single programmable core for edge devices. Its licensable IP targets automotive, industrial, robotics, and embedded systems, enabling customers to integrate a unified accelerator/processor into their SoCs. Founded in 2017 and headquartered in Burlingame, California, the privately held company was started by technologists from MIT and Carnegie Mellon.