Edge AI Kernel Engineer - High-Performance Inference

QUADRIC PTY LTD

Burlingame (CA)

On-site

USD 170,000 - 230,000

Full time

12 days ago
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Benefits offered by this job

Medical, dental, and vision insurance
Company-paid life insurance
Voluntary life insurance
STD + LTD insurance
Commuter support (Caltrain)
FSA + HSA
Equity
Paid parental leave
401(k) retirement plan
Flexible PTO
Catered lunch
Downtown Burlingame office
Collaborative culture
Innovation focus

Job summary

Quadric in Burlingame, CA is seeking an AI Kernel Engineer on the SDK Team to develop high-performance AI and LLM kernels for edge devices. You will build a production-grade kernel library and optimize across hardware variants while profiling throughput and data movement.

Required: 3–8 years in AI kernel development, strong C/C++, Python, and experience with CUDA, DSP, NEON, or Triton-lang; a Bachelor's or Master's in CS/EE is preferred.

Qualifications

  • 3-8 years of hands-on experience in AI kernel development and performance optimization.
  • Proficiency in C/C++ and Python.
  • Direct experience with compute development in CUDA, DSP, NEON, or Triton-lang.
  • Proven track record in model and kernel inference performance profiling.
  • Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.

Responsibilities

  • Develop highly efficient AI and LLM kernels/operators on the Quadric platform for performant neural network inference.
  • Build out a robust, production-grade Quadric kernel library to support a variety of cutting-edge AI architectures.
  • Drive kernel programming using C/C++ and Python.
  • Optimize kernel performance across different hardware configurations and workloads to achieve maximum hardware utilization.
  • Profile and analyze kernel performance in terms of compute throughput, data movement, and parallel execution.
  • Identify micro-architecture and software bottlenecks and engineer high-performance optimization solutions.

Skills

C/C++
Python
AI kernel development
Performance profiling

Education

Bachelor's or Master's degree in CS/EE

Tools

CUDA
DSP
NEON
Triton-lang

Job description

Quadric in Burlingame, CA is seeking an AI Kernel Engineer on the SDK Team to develop high-performance AI and LLM kernels for edge devices. You will build a production-grade kernel library and optimize across hardware variants while profiling throughput and data movement.

Required: 3–8 years in AI kernel development, strong C/C++, Python, and experience with CUDA, DSP, NEON, or Triton-lang; a Bachelor's or Master's in CS/EE is preferred.

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