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Urgent! Architect, AI Computing Job Opening In Singapore, Singapore – Now Hiring Black Sesame Technologies (Singapore) Pte Ltd

Architect, AI Computing



Job description

Position Overview:

Black Sesame Technologies is seeking a talented and innovative Architect, AI Computing 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.

Responsibilities:

  • Conduct in-depth research and analysis of cutting-edge machine learning algorithms, with a primary focus on applications in autonomous driving.

  • Monitor and forecast 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 that enhance chip performance, efficiency, and scalability.

  • Develop comprehensive technical documentation and presentations to effectively communicate complex concepts to both technical and non-technical audiences.

  • 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 programming languages such as Python and C++.

  • ML Frameworks: Hands-on experience with machine learning frameworks like TensorFlow and PyTorch, and deploying them on hardware accelerators.

  • Collaboration: Demonstrated ability to work effectively in a team-oriented, cross-disciplinary environment.

  • Co-Design Expertise: Strong understanding of software/hardware co-design principles and their impact on system performance is highly preferred.


Required Skill Profession

Other General



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