quadric, Inc

Quadric provides a general-purpose neural processing unit (GPNPU) and software that enable high-performance on-device AI inference without splitting workloads across separate processors. It licenses…

AI Processor IPAutomotive SafetyLarge Language ModelsMachine LearningML InferenceNeural Processing UnitSoC DesignVision Transformersquadric.io

quadric, Inc

AI Processor IPAutomotive SafetyLarge Language ModelsMachine LearningML InferenceNeural Processing UnitSoC DesignVision Transformersquadric.io

HQBurlingame, US

Team Size64

Open Jobs11

Total Funding$74M

Latest Fundraise5 months ago

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AI Kernel Engineer

On-SiteBurlingame, US

On-Site • Burlingame, US

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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 1develop a highly efficient Quadric kernel library for a variety of AI/LLM models; 2analyze 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

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