Hybrid AI Kernel Engineer

Posted last month

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About the role

  • AI Kernel Engineer developing efficient AI kernels/operators for Quadric's neural processing unit. Analyze and optimize kernel performance across various hardware configurations.

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
  • 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 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

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development
  • Work From Home
  • Free Food & Snacks
  • Stock Option Plan

Job title

AI Kernel Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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