Technical Director, Artificial Intelligence
The Technical Director, Artificial Intelligence is sought to drive Supercomputing initiatives and support the integration of Supercomputing with artificial intelligence (AI) within an innovation ecosystem. This role offers a unique opportunity to enhance core Supercomputing capabilities, develop sustainable computing infrastructures, and contribute to positioning the client as a global leader in Supercomputing-AI convergence.
Key Responsibilities
- Lead technical efforts across Supercomputing capability development, AI model optimization, and scalable deployment strategies.
- Define and guide the solution roadmap for Supercomputing-AI integration, emphasizing scalability, sustainability, and real-world impact.
- Collaborate with academic institutions, technology providers, and industry stakeholders to align with client's priorities and foster strategic partnerships.
- Oversee and contribute to high-impact projects, publications, open-source initiatives, and intellectual property development.
- Represent Supercomputing initiatives in global forums to enhance international visibility and collaboration.
Strategic Focus Areas
- Supercomputing Capability Building: Advance hardware-software co-design, performance tuning, and adaptive code development for emerging architectures.
- Efficient AI Model Training: Optimize distributed training, data movement, and compute efficiency across diverse hardware platforms.
- Scalable Deployment: Develop AI-driven resource scheduling and orchestration strategies for hybrid environments including supercomputers, edge clusters, and cloud systems.
- Sustainable Computing: Promote energy-efficient architectures and carbon-aware scheduling to support sustainability goals.
Technical Expertise Required
- Deep knowledge of Supercomputing systems, including GPU clusters, parallel computing, and heterogeneous architectures.
- Strong familiarity with Supercomputing frameworks (MPI, OpenMP).
- Experience with AI/ML frameworks (e.g., PyTorch, TensorFlow) and their integration with Supercomputing environments.
- Proven leadership in managing complex technical projects and multi-stakeholder collaborations.
Preferred Qualifications
- PhD in Computer Science, Computational Science, or equivalent industry experience.
- Experience in cloud-based Supercomputing, hybrid computing, and Artificial Intelligence.
- Familiarity with quantum-classical hybrid computing and future integration pathways.
- Demonstrated success in industry collaborations and technology transfer.
Raymond Ler (R1876114)
JAC Recruitment Pte. Ltd. (90C3026)
