TalentAQ

TalentAQ

Hardware AI Engineer

EngineeringFull Time1-8 yearsRemote

Required Skills
7 skills

AI frameworks
Python
C++
Java
deep learning
robotics integration
cloud computing

Job Description

<h3>Overview</h3><p>We are seeking a skilled Hardware AI Engineer to design and implement hardware solutions for artificial intelligence applications. You will be responsible for developing and optimizing hardware architectures to accelerate AI algorithms and improve performance.</p><h3>Key Responsibilities</h3><ul><li>Design and develop hardware accelerators for AI workloads.</li><li>Optimize hardware architectures for deep learning and machine learning algorithms.</li><li>Collaborate with software engineers to integrate hardware and software components.</li><li>Evaluate and benchmark hardware performance for AI applications.</li><li>Participate in the development of AI hardware roadmaps.</li></ul><h3>Required Skills</h3><ul><li>Proficiency in hardware design languages (e.g., Verilog, VHDL).</li><li>Experience with AI frameworks and libraries.</li><li>Strong understanding of computer architecture and digital design.</li><li>Knowledge of deep learning and machine learning principles.</li></ul>

Overview

We are seeking a skilled Hardware AI Engineer to design and implement hardware solutions for artificial intelligence applications. You will be responsible for developing and optimizing hardware architectures to accelerate AI algorithms and improve performance.

Key Responsibilities

  • Design and develop hardware accelerators for AI workloads.
  • Optimize hardware architectures for deep learning and machine learning algorithms.
  • Collaborate with software engineers to integrate hardware and software components.
  • Evaluate and benchmark hardware performance for AI applications.
  • Participate in the development of AI hardware roadmaps.

Required Skills

  • Proficiency in hardware design languages (e.g., Verilog, VHDL).
  • Experience with AI frameworks and libraries.
  • Strong understanding of computer architecture and digital design.
  • Knowledge of deep learning and machine learning principles.

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