Solutions Architect, Data Science

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

We are looking for a Solutions Architect with experience in Data Science.

Responsibilities

• Identify new opportunities for NVIDIA technology and solutions, by effectively communicating and positioning the product portfolio and analysing customer requirements.
• Independently lead technical sales activities in collaboration with the extended team, with the goal of providing total solutions.
• Identify customer requirements and develop complete generative AI solutions designs using NVIDIA and our ecosystem partners' products.
• Work closely with ISVs, Solution Integrators and OEMs in solution development and delivery, including proof of concepts.
• Collaborate with sales and business development teams to support pre-sales activities, including technical presentations and demonstrations of LLM and RAG capabilities.
• Provide feedback to NVIDIA's product management teams, contributing to the evolution of generative AI technologies.
• Lead workshops and trainings on NVIDIA's technologies.
• Develop cloud native, multi-agent designs leveraging LLM and RAGs for specific use cases.
• Help customers to optimise training and inference performance runtime, at scale.

Requirements

• A passion for customer success and innovative AI solutions. Someone motivated, able to work independently, proactively with minimal direction.
• Exceptional communication skills, good interpersonal skills, and enjoy collaborative work.
• 5+ years of hands-on experience in a technical role, specifically focusing on generative AI, with emphasis on training Large Language Models (LLMs).
• BSc or Master in Data Science, Computer Science or related subjects.
• Proven track record of deploying and optimizing LLM models in production environments.
• Expertise in training and fine-tuning LLMs using popular frameworks such as TensorFlow and PyTorch.
• Superb communication and collaboration skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Experience leading workshops, training sessions, and presenting technical solutions to diverse audiences.
• Professional or Native language proficiency in English and Thai.
• Ability to travel up to 30% of the time to support customer in Thailand and South East Asia.

Ways to Stand Out from the Crowd

• Hands-on experience with NVIDIA's NeMo SDKs and Triton Inference Server.
• Demonstrable ability to optimize LLM models for inference speed, memory efficiency, and resource utilization.
• Familiarity with containerization technologies (e.g., Docker) and orchestration tools (e.g., Kubernetes) for scalable and efficient model deployment.
• Professional fluency in one of these languages: Mandarin.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.