AI Solutions Engineer

2 weeks ago


Jackson, Mississippi, United States NVIDIA Full time

We are seeking a seasoned professional to lead our NVIDIA AI Technology Center initiative in India. In this role, you will serve as a technical authority, overseeing programs designed to enhance the integration of NVIDIA's technology within academic and public sector research environments.

Your primary focus will be on technical collaborations that support researchers and developers at universities and research institutions as they implement our platforms and solutions in high-performance computing and artificial intelligence.

You will collaborate across various departments within our organization to ensure a seamless experience for researchers integrating NVIDIA products into their workflows. Additionally, you will play a key role in fostering and maintaining a diverse team.

Adaptability in a fast-paced environment is essential, along with a solid background in NVIDIA accelerated computing software and systems.


Key Responsibilities:
  • Engage with Higher Education, Research, and Government clients to promote research partnerships and influence new business opportunities.
  • Assist faculty, researchers, and governmental bodies in their Deep Learning initiatives and support the development of innovative solutions.
  • Monitor academic advancements and collaborations that incorporate NVIDIA technology into AI and HPC frameworks for complex applications.
  • While we utilize various conferencing tools, some travel may be necessary for this position.

You will have the autonomy to determine the most effective methods to achieve your objectives and ensure the success of our customers and collaborators.


Qualifications:
  • Master's or Doctorate in a technical or scientific discipline.
  • A minimum of 10 years of relevant experience in both industry and academia.
  • A proven history of publications and securing grants.
  • Demonstrated experience in international collaboration.
  • Fluency in English and Hindi (both spoken and written).
  • Established expertise in artificial intelligence and computational science.

Preferred Qualifications:
  • Previous experience with NVIDIA platforms.
  • Experience in leading a corporate research or research support team.
  • Active participation or leadership roles in national or international scientific or engineering organizations (e.g., IEEE, ACM, SIAM, or similar).
  • Publications or presentations on GPU or AI-accelerated scientific computing.


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