AI Inference Engineer

quadric.io, Inc; Burlingame (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

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 summary

A pioneering tech company is looking for an experienced AI Inference Engineer to bridge AI models and advanced processing platforms. This role requires expertise in AI model algorithms, strong C/C++ and Python skills, and experience with deployment frameworks. You will optimize and benchmark AI models, ensuring efficient deployment in edge devices. The position comes with comprehensive health benefits and flexible work options.

Qualifications

• 5+ years of experience in AI/LLM model inference and deployment frameworks/tools.
• Experience with model accuracy measures and performance profiling.
• Comfortable working with diverse AI tools and frameworks.

Responsibilities

• Quantize, prune, and convert models for deployment.
• Port models to Quadric platform using their toolchain.
• Benchmark and profile model performance and accuracy.

Skills

Model quantization (PTQ, QAT)

Proficiency in C/C++

Proficiency in Python

Problem solving and debugging

Education

Bachelor’s or Master’s in Computer Science or Electric Engineering

Tools

onnxruntime

Pytorch

huggingface-transformer

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 Inference Engineer in Quadric is the key bridge between the world of AI/LLM models and Quadric unique platforms. The AI Inference Engineer at Quadric will [1] port AI models to Quadric platform; [2] optimize the model deployment for efficient inference; [3] profile and benchmark the model performance. This senior technical role demands deep knowledge of AI model algorithms, system architecture and AI toolchains/frameworks.

Responsibilities:

• Quantize, prune and convert models for deployment
• Port models to Quadric platform using Quadric toolchain
• Optimize inference deployment for latency, speed
• Benchmark and profile model performance and accuracy
• Develop tools to scale and speed up the deployment
• Make Improvement to SDK and runtimeProvide 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/LLM model inference and deployment frameworks/tools
• experience with model quantization (PTQ, QAT) and tools
• experience with model accuracy measuresexperience with model inference performance profiling
• experience with at least one of the following frameworks: onnxruntime, Pytorch, vLLM, huggingface-transformer, neural-compressor, llamacpp
• Proficiency in C/C++ and Python
• 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