Solutions Architect - Generative AI (LLM) Models

Role Overview

We seek a Solutions Architect specializing in Generative AI and Large Language Models (LLMs) who can provide highly technical expertise and contribute creatively to opportunities in the South East Asia region, particularly Singapore. This role acts as a primary technical liaison between NVIDIA, its customers, and partners, involving design, training, troubleshooting, and industry engagement.

Key Responsibilities

• Act as a subject matter expert for customizing GenAI (LLM) models and enhancing training performance at scale.
• Conduct workshops and training sessions focused on NVIDIA's technology stack.
• Collaborate with Solutions Architects, engineering, product, and business teams to develop end-to-end GenAI solutions tailored for industry verticals and enterprises.
• Partner with business leaders to define clear visions and actionable strategies aligned with company and industry goals.
• Communicate the business advantages of cutting-edge Generative AI technology to industry leaders and stakeholders.

Qualifications and Experience

• Bachelor’s, Master’s, or PhD degree in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, Engineering disciplines, or equivalent experience.
• At least 8 years of professional experience in deep learning, data science, or software development, with a strong background in parallel GPU computing focused on scalable generative AI and large language model training.
• Excellent verbal and written communication skills to effectively collaborate across technical and managerial teams and present technical concepts to varied audiences.
• Proven experience in organizing and leading workshops and technical presentations.
• Fluency in English and Mandarin at professional or native proficiency levels.
• Willingness and ability to travel up to 30% of the time to support customers across South East Asia and beyond.

Preferred Skills

• Practical experience with NVIDIA’s NeMo SDKs or Megatron frameworks.
• Proven capability to tailor LLMs for enhanced training speed, memory use, and resource effectiveness.
• Familiarity with containerization tools (Docker, enroot/pyxis) and orchestration platforms (Slurm, Kubernetes) for scalable model development.

Additional Information

NVIDIA is a leading global tech company recognized for its top-tier employment standards, offering competitive salaries and comprehensive benefits. We strive for inclusivity and equal opportunity employment regardless of race, religion, gender, sexual orientation, disability, or any legally protected characteristic.