NVIDIA

Solution Architect - AI and ML

Vietnam

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors, AI & Machine Learning, Data & AnalyticsIndustries

Position Overview

  • Location Type: Hanoi, Vietnam
  • Employment Type: Full-time
  • Job Type: Data Scientist
  • Salary: Not provided

We are seeking a Data Scientist with commercial experience in AI, Data Science, and Machine Learning to join our Solution Architecture team. This role focuses on leveraging GPU infrastructure and driving breakthroughs in deep learning and artificial intelligence for our customers. You will serve as a trusted technical advisor and leader, educating and enabling customers to adopt NVIDIA’s AI solutions, particularly in POCs and customer design.

Requirements

  • Commercial experience in AI, Data Science, and Machine Learning.
  • Experience with GPU infrastructure (scale out and scale up solutions).
  • Strong understanding of deep learning and artificial intelligence.
  • Ability to work with developers, scientific researchers, data scientists, and IT managers.
  • Excellent communication and presentation skills.
  • Ability to develop and demonstrate solutions based on NVIDIA’s software and hardware technologies.

Responsibilities

  • Working with Gen AI (NeMo) Deep Learning and HPC customers to leverage NVIDIA Software Development Kits (SDKs) and GPU-based infrastructure.
  • Developing and demonstrating solutions using NVIDIA’s ML/DL, data science software, and hardware technologies, especially on NVIDIA DGX and virtualized solutions (VMware + Tanzu and Open Source).
  • Performing in-depth analysis and optimization to ensure optimal performance on GPU architecture systems.
  • Running NVIDIA Deep Learning Institute and Skills Transfer sessions with customers, OEMs, and partners.
  • Working directly with key partners and customers to understand their technology needs and provide the best solutions.
  • Partnering with APAC Regional and HQ Engineering, Product, and Sales teams to develop and plan suitable solutions.
  • Enabling development and growth of product features through customer feedback and POC evaluations.
  • Building industry expertise and contributing to integrating NVIDIA technology into Enterprise Computing architectures.
  • Collaborating with customers to develop and implement AI solutions.

Application Instructions

  • Not provided in the description.

Company Information

  • Company: NVIDIA (Implied)
  • Team: Solution Architecture
  • Focus: AI Software Development Kits and broader artificial intelligence, empowering the world’s most successful companies.

Skills

AI
Data Science
Machine Learning
GPU infrastructure
Deep Learning
NVIDIA SDKs
NVIDIA DGX
Virtualization (VMware, Tanzu)
Performance Optimization
Customer Solution Development
Communication
Presentation

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters
1993Year Founded
$19.5MTotal Funding
IPOCompany Stage
Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries
10,001+Employees

Benefits

Company Equity
401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.
Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.
Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.
NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.
Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.
Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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