Solution Architect - AI and ML

5 Months ago • 5-8 Years • Devops

Job Summary

Job Description

NVIDIA seeks a Solution Architect - AI and ML to join its Solution Architecture team in Hanoi, Vietnam (remote). This role requires commercial experience in AI, data science, and machine learning, along with expertise in GPU infrastructure. Responsibilities include working with customers to leverage NVIDIA SDKs and GPU-based infrastructure, developing and demonstrating solutions based on NVIDIA's ML/DL technologies, performing performance optimization, conducting training sessions, and partnering with internal and external teams. The ideal candidate will have strong customer-facing skills, experience with AI/HPC software frameworks (NeMo, NGC), and a background in data science or a related field. This role requires strong technical expertise combined with excellent communication and collaboration skills.
Must have:
  • 5+ years commercial AI/Data Science experience
  • Experience with NeMo & NGC
  • Strong customer-facing skills
  • BS/MS/PhD in relevant field
  • Proficiency in Python/C++
Good to have:
  • Experience with Consulting/OEMs
  • CUDA optimization experience
  • Experience with automation/orchestration tools

Job Details

We are looking for a Data Scientist in Hanoi, Vietnam to work within our Solution Architecture team with commercial experience in AI, Data Science and Machine Learning as well as the underlying GPU Infrastructure including scale out and scale up solutions.

As part of our Solutions Architecture team, we work with the most exciting computing software and hardware, driving the latest breakthroughs in deep learning and artificial intelligence. This role offers an excellent opportunity to expand your career in the rapidly growing field of AI Software Development Kits and broader artificial intelligence while empowering the world's most successful companies. We need a passionate, hard-working and creative individual to help us pursue more of these opportunities in fields of AI compute.  This Data Scientist role requires becoming a trusted technical advisor and leader to our customers, educating and enabling them, with a strong focus on POC’s and design for our customers who believe that deep learning, data science, and artificial intelligence is a new computing revolution and has the potential to transform the entire industrial domain.

The NVIDIA Solution Architecture team is the first line of technical expertise between NVIDIA and our customers. Your duties will vary from inventing proof-of-concept demonstrations, to driving relationships with key executives and managers in order to evangelize accelerated computing to leverage AI. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns.

What You’ll Be Doing:

  • Working with our Gen AI (NeMo) Deep Learning and HPC customers to help them leverage NVIDIA Software Development Kits (SDK/s) and GPU based infrastructure to best advantage for their business.

  • Develop and demonstrate solutions based on NVIDIA’s state-of-the-art ML/DL, data science software and hardware technologies to customers especially on NVIDIA DGX and virtualized solutions such as VMware + Tanzu and Open Source

  • Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems

  • Running NVIDIA Deep Learning Institute and Skills Transfer sessions with Customers, OEM’s and partners around NVIDIA & others HW and SW solutions.

  • Work directly with key partners and customers to understand their technology and provide the best solutions, ensuring that the partners skills develop with opportunities.

  • Partner with APAC Regional and HQ Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations

  • Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. Work closely with customer's data science, ML/DL developers and IT teams

What We Need to See:

  • Professional, long term experience as a Data Scientist (focus on AI/DL/ML) developing/supporting customer facing projects experience on computer vision, Conversional AI, or data analytics technologies, especially LLM and Gen AI projects.

  • Familiarity deploying NVIDIA AI/HPC Software frameworks such as NeMo & NGC.

  • At least 5 years experience in commercial AI and Data Science.

  • BS/MS/PhD or equivalent experience in Computer Science, Data Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering fields with at least 8 years work or research experience with Python/ C++ / other software development.

  • AI/Data Science project management, liaising with multiple stakeholders to drive projects, and coordinating resources inside (and outside if relevant) the organization.

  • Strong customer or presales and technical experience and skills with AI/ML/Big Data frameworks assisting them with.

  • Good planning and long term strategic engagement and orchestration with a broad ecosystem of stakeholders from customer, to internal and external parties.

  • You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

  • Excellent presentation skills and demonstrated capacity to deliver complex messaging to customers and partners with excellent verbal and written communication.

  • Able to work remotely, planning well with strong partnering with a small team with an attitude for growth, passion for continuous learning and sharing findings across the team

  • Excited to partner with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team)

Ways to Stand Out from The Crowd:

  • Python coding skills and automation/orchestration tools, C++ software development

  • Experience working in or with Consulting, Business partners and OEM’s, managing AI/DL technical aspects of deals and accounts.

  • Development background with NVIDIA software libraries and GPUs, and OpenACC, CUDA optimization experience.

  • Design and Deployment technical skills across a variety of OEM infrastructure (Compute, Network and Storage).

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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.

Similar Jobs

PwC - IN_Manager_ Adobe Campaign_Application Technology_Advisory

PwC

Bengaluru, Karnataka, India (On-Site)
3 Weeks ago
PwC - Senior Manager Strategy & Operation Procurement

PwC

Brussels, Brussels, Belgium (On-Site)
1 Month ago
Reltio - Senior Talent Sourcer - Global Hiring

Reltio

Bengaluru, Karnataka, India (Hybrid)
1 Month ago
Yahoo - Senior Research Scientist - Phish and Spam Detection

Yahoo

United States (Hybrid)
1 Month ago
Wrike - Marketing Operations Program Coordinator

Wrike

Prague, Prague, Czechia (Hybrid)
1 Month ago
Reddit - Staff Software Engineer, Messaging Infrastructure

Reddit

New York, New York, United States (Remote)
1 Month ago
Scale AI - Senior Software Engineer - Billing Platform

Scale AI

San Francisco, California, United States (On-Site)
2 Months ago
WebFX - Jr. MarTech Solutions Architect

WebFX

Harrisburg, Pennsylvania, United States (On-Site)
8 Months ago
Workato - Senior Infrastructure Engineer (OpenSearch)

Workato

Nicosia, Nicosia, Cyprus (On-Site)
1 Month ago
bytedance - Site Reliability Engineer Intern

bytedance

Seattle, Washington, United States (On-Site)
2 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

PwC - IN-Senior Associate_ Python Developers _Advisory Corporate_ Bangalore

PwC

Bengaluru, Karnataka, India (On-Site)
8 Months ago
London stock Exchange - Data Analyst

London stock Exchange

Gdynia, Pomeranian Voivodeship, Poland (Hybrid)
1 Month ago
Qualcomm - AI/ML framework Staff Engineer

Qualcomm

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Keywords Studios - Implementation Specialist II

Keywords Studios

Pune, Maharashtra, India (Hybrid)
1 Month ago
dun bradstreet - Economist

dun bradstreet

Navi Mumbai, Maharashtra, India (On-Site)
1 Month ago
AVER LLC - Senior Latent Print Examiner

AVER LLC

United States (On-Site)
8 Months ago
Capgemini - HR Operational Excellence Analyst

Capgemini

Noida, Uttar Pradesh, India (On-Site)
1 Month ago
Car Gurus - Engineering Manager, Engagement

Car Gurus

Boston, Massachusetts, United States (Hybrid)
2 Weeks ago
OKX - Data Analyst & Business Strategy Director

OKX

Hong Kong (On-Site)
1 Month ago
attentive - Senior Software Engineer, Developer Tools

attentive

United States (Remote)
4 Months ago

Get notifed when new similar jobs are uploaded

Jobs in undefined

Looks like we're out of matches

Set up an alert and we'll send you similar jobs the moment they appear!

Devops Jobs

Tellius - Solutions Engineer

Tellius

(Remote)
1 Month ago
Wind River - Senior Engineer - Cloud

Wind River

Beijing, China (On-Site)
2 Months ago
Xsolla - Solutions Engineer

Xsolla

(Remote)
2 Months ago
WebFX - Jr. MarTech Solutions Architect

WebFX

Harrisburg, Pennsylvania, United States (On-Site)
8 Months ago
Macrometa - Senior DevOps Engineer

Macrometa

(Remote)
1 Month ago
conga - Software Architect

conga

Bengaluru, Karnataka, India (On-Site)
1 Month ago
DigitalOcean - Senior Cloud Support Engineer

DigitalOcean

Hyderabad, Telangana, India (Hybrid)
8 Months ago
Rippling - Senior Software Engineer - Global Payroll Platform

Rippling

Sydney, New South Wales, Australia (On-Site)
1 Month ago
Sword Health - Senior DevOps Engineer

Sword Health

Porto, Porto District, Portugal (Hybrid)
6 Months ago
Scopely - Principal Server Engineer, Infrastructure

Scopely

Barcelona, Catalonia, Spain (On-Site)
5 Months ago

Get notifed when new similar jobs are uploaded

About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Santa Clara, California, United States (On-Site)

Massachusetts, United States (On-Site)

Santa Clara, California, United States (On-Site)

Texas, United States (On-Site)

Santa Clara, California, United States (Hybrid)

Santa Clara, California, United States (Hybrid)

Pune, Maharashtra, India (On-Site)

Taipei City, Taiwan (On-Site)

Beijing, Beijing, China (On-Site)

Santa Clara, California, United States (On-Site)

View All Jobs

Get notified when new jobs are added by NVIDIA

Level Up Your Career in Game Development!

Transform Your Passion into Profession with Our Comprehensive Courses for Aspiring Game Developers.

Job Common Plug