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AI Kernel Engineer
AI Kernel EngineerQuadric, Inc • Burlingame, California, United States
AI Kernel Engineer

AI Kernel Engineer

Quadric, Inc • Burlingame, California, United States
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_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 efficient 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
  • Make Improvement to Quadric toolchain, compiler and runtime
  • Provide technical support and documents to customers and developer community
  • 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
  • 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
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