Chief Research Scientist – AI Computing Architecture

vor 3 Wochen


Zürich, Schweiz USA Tech Recruit Vollzeit
Chief Research Scientist – AI Computing Architecture

We are seeking a Chief Research Leader in AI Computing Architecture to spearhead our initiatives in optimizing and innovating computing frameworks that facilitate powerful AI operations.

This role involves leading a team of experts in designing next-generation computing architectures, with a particular focus on scalability, efficiency, and advanced AI capabilities.

The ideal candidate will bring a strong leadership background, technical expertise, and a strategic outlook to our dynamic team.

Responsibilities:

  • Lead the team to identify the evolution path of next-generation AI architecture. Continuously track AI technology trends globally. Anticipate new trends, breakthroughs, and disruptions, and use this insight to lead in AI architecture development.
  • Motivate the team to develop competitive solutions. Incorporate research, best practices, and market needs to ensure AI architectures outperform in efficiency, scalability, and adaptability.
  • Lead research projects aimed at creating state-of-the-art computing architectures for emerging AI foundation models and applications. Define and direct the research agenda to align with strategic business goals and technological advancements.
  • Manage and mentor a team of researchers and engineers, fostering an environment of creativity and innovation.
  • Develop partnerships with academic institutions and other research entities to enhance knowledge exchange and technical development.

Requirements:

  • PhD in Computer Science, Electrical Engineering, or a related field with a focus on computing architectures or AI.
  • 10-20 years of experience in research and development within the field of computing architecture, including substantial experience in a leadership role.
  • Extensive experience with AI technologies, particularly in the areas of machine learning and deep learning.
  • Proven track record of innovative solutions in computing architecture and successful project leadership.
  • Strong publication record in peer-reviewed journals and/or patents in relevant fields.
  • Exceptional leadership skills and the ability to inspire and direct a high-performing team.
  • Excellent communication and collaboration skills to interact effectively with stakeholders at all levels.

Preferred Qualifications:

  • Experience with hardware acceleration technologies, such as GPUs, TPUs, or custom ASICs.
  • Previous collaboration with industry leaders and technology providers in the AI space.
  • Demonstrated ability to secure funding and resources for research initiatives.

Seniority level: Executive

Employment type: Full-time

Job function: Information Technology and Research

Industries: Technology, Information and Media

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