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1 день назад

Quantizer, Research Engineer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Quantizer, Research Engineer (AI): Leading the evolution of quantization technology for NXP's game-changing AI solutions with an accent on designing novel PTQ/QAT algorithms and implementing them in a high-performance C++ production environment. Focus on bridging academic research with industrial reality, ensuring efficient and reliable customer models on hardware.

Location: Onsite in Guadalajara, Mexico

Company

hirify.global fosters innovation and develops game-changing AI solutions for edge devices.

What you will do

  • Actively survey the latest research on quantization, compression, and numerical precision.
  • Develop mathematically rigorous approximation algorithms and mixed-precision strategies.
  • Translate research prototypes into robust, optimized C++ production code.
  • Integrate quantization metadata with compilers, runtimes, and kernels.
  • Design deterministic calibration strategies and implement statistical analysis tools.
  • Mentor engineering team on numerical methods and contribute to intellectual property.

Requirements

  • Ph.D. in Computer Science, Electrical Engineering, or Mathematics with a focus on Machine Learning, Deep Learning, or Numerical Analysis.
  • Proficiency in modern C++ (STL, memory management) and Python.
  • Deep understanding of linear algebra, probability/statistics, and optimization theory.
  • Practical experience with PTQ/QAT workflows, low-precision arithmetic (int8, int4, fp8), and troubleshooting numerical instability.
  • Experience with model formats (ONNX, PyTorch, TensorFlow) and graph-level optimizations.
  • Must be able to work onsite in Guadalajara, Mexico.

Nice to have

  • Experience with compiler infrastructure (MLIR, LLVM, TVM, Glow).
  • Research focus on hardware-aware neural network design or co-design.
  • Experience implementing custom kernels or runtime support for NPUs/accelerators.
  • Familiarity with firmware constraints in embedded systems.

Culture & Benefits

  • Be part of a pioneering team shaping the future of AI and edge computing.
  • Work on innovative projects that solve real-world challenges.
  • Opportunity to grow with a dynamic, forward-thinking company.
  • Competitive salary, benefits, and a collaborative work environment.

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