Intel AI Frameworks Optimization Engineer

hace 1 mes


San José, San José, Costa Rica Intel A tiempo completo

About the Role

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We are seeking a highly skilled AI Frameworks Optimization Engineer to join our team at Intel. As an AI Frameworks Optimization Engineer, you will play a crucial role in optimizing AI frameworks for Windows ecosystems.

Key Responsibilities

  • Evaluate new Intel technologies and create Proof of Concepts to present findings to partners and architects.
  • Improve Intel hardware performance using performance methodologies and optimize software stacks for best results on IA.
  • Develop software optimizations that influence partners to adopt leading-edge Intel features.
  • Analyze and optimize compute graphs, develop and optimize kernels for delivering optimized inference on GPUs.

Requirements

  • MS or PhD graduate in Computer Science, Computer Engineering, or related field.
  • 4+ years of industry experience developing high-quality code in C/C++, Python, C#, or similar programming languages.
  • 2+ years of experience in deep learning models, understanding common model architectures, numeric, and data types, and model optimization techniques.
  • 2+ years of experience in parallel computing and performance engineering.

About Intel

Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions.

Estimated Salary: $120,000 - $180,000 per year

This role offers a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits.
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances, the work model may change to accommodate business needs.



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