AI Systems Architect

3 days ago

Singapore beBeeArtificialintelligence Full time $150,000 - $200,000

Job Title: AI Computing Architect

Description:

  • We are seeking a talented and innovative AI Computing Architect with expertise in software/hardware co-design to drive advancements in autonomous driving technologies.
  • This role offers a unique opportunity to bridge the gap between machine learning algorithms and hardware design, contributing to high-performance, efficient, and scalable solutions for AI-driven systems.

Key Responsibilities:

  • Conduct in-depth research and analysis of cutting-edge machine learning algorithms, focusing on applications in autonomous driving.
  • Monitor industry trends in AI technologies to identify opportunities for innovation and improvement.
  • Evaluate the computational and memory requirements of various AI models and operators, identifying optimization opportunities.
  • Collaborate closely with chip architects and engineers to design and implement software/hardware co-designed solutions.
  • Develop comprehensive technical documentation and presentations to communicate complex concepts effectively.
  • Stay connected with academic and industry research communities to remain at the forefront of AI and machine learning advancements.

Qualification/ Requirements:

  • Education: Master's or PhD in Computer Science, Electrical Engineering, or a related technical field with a strong focus on machine learning.
  • Experience: Proven experience in developing and analyzing machine learning algorithms.
  • Programming Skills: Proficiency in Python and C++.
  • ML Frameworks: Hands-on experience with TensorFlow and PyTorch, and deploying them on hardware accelerators.
  • Collaboration: Demonstrated ability to work effectively in a team-oriented environment.
  • Co-Design Expertise: Strong understanding of software/hardware co-design principles and their impact on system performance is highly preferred.

Desirable Skills:

  • TensorFlow
  • Machine Learning
  • Technical Documentation
  • Scalability
  • Hardware
  • Architect
  • PyTorch
  • Python
  • Teamoriented

Benefits:

  • Achieve technological leadership by bridging the gap between AI research and industry implementation.
  • Unlock the potential of machine learning algorithms and hardware design to drive innovations in autonomous driving technologies.

Join Our Community:

  • Strengthen your skills in software/hardware co-design and stay up-to-date with the latest advancements in AI and machine learning.

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