Solutions Architect, Data Science

NVIDIA; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

NVIDIA is seeking a passionate Solutions Architect with expertise in Data Science and generative AI. This role involves collaborating with technical sales, developing innovative solutions, and enhancing customer relationships across Southeast Asia. Candidates should have a strong background in deploying LLMs and excellent communication skills.

Qualifications

• 5+ years of hands-on experience in generative AI roles.
• Expertise in training and optimizing LLMs.
• Professional fluency in English and Vietnamese.

Responsibilities

• Identify new opportunities for NVIDIA technology.
• Lead technical sales activities and develop AI solutions.
• Collaborate with teams for pre-sales demos and workshops.

Skills

Communication

Collaboration

Problem Solving

Technical Expertise

Education

BSc or Master in Data Science

BSc or Master in Computer Science

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

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

We need a passionate, hard-working, expert and creative individual to help us pursue the many opportunities in this region. This individual should become a trusted technical advisor to our customers, with a strong focus on innovative, scalable designs.

A Solution Architect is the first line of technical expertise between NVIDIA and our customers, as well as our partners. Your duties will vary from solutions design, industry and marketing speaking engagements, training delivery, troubleshooting, project coordination, customer relationship management and more. In this role you will primarily support Vietnam, but will need to support the wider South East Asia region if required.

What you'll be doing:

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.

What we need to see:

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.

BSc or Master in Data Science, Computer Science or related subjects.

5+ years of hands-on experience in a technical role, specifically focusing on generative AI, with emphasis on training Large Language Models (LLMs).

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 Vietnamese

Ability to travel up to 30% of the time to support customer in Vietnam 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. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

About the company

9637389 Nvidia Corporation is an American multinational technology company incorporated in Delaware and based in Santa Clara, California.

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