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AI Inference Engineer

Job in Burlingame, San Mateo County, California, 94012, USA
Listing for: Quadric Inc.
Full Time position
Listed on 2025-12-01
Job specializations:
  • Engineering
    AI Engineer, Software Engineer, Data Engineer, Systems Engineer
Job Description & How to Apply Below

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 tool chains/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 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/LLM model inference and deployment frameworks/tools
  • experience with model quantization (PTQ, QAT) and tools
  • experience with model accuracy measures experience 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
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