Solution Architect - AI and ML

6 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

Xsolla - Chief Information Security Officer (CISO)

Xsolla

Canada (Remote)
2 Months ago
Apple - AIML - EPM Manager, Foundation Model Data

Apple

Cupertino, California, United States (On-Site)
3 Weeks ago
Ion - Internal Auditor, Italy

Ion

Italy (Hybrid)
9 Months ago
Toast - Staff Software Engineer

Toast

Canada (Remote)
4 Weeks ago
The Globel Talent Co - Managing Director

The Globel Talent Co

Berlin, Berlin, Germany (Hybrid)
4 Weeks ago
NVIDIA - Senior Software Architect, Accelerated Computing SDN

NVIDIA

Tel Aviv-Yafo, Tel Aviv District, Israel (On-Site)
5 Months ago
P99 soft - Senior DevOps Engineer

P99 soft

Hyderabad, Telangana, India (On-Site)
3 Months ago
Palo Alto Networks - Senior Consulting Director, Cloud Security, Proactive Services (Unit 42)

Palo Alto Networks

Santa Clara, California, United States (Remote)
2 Weeks ago
Epic Games - Senior DevOps Engineer

Epic Games

(On-Site)
3 Months ago
Adyen - Solutions Engineer

Adyen

Warsaw, Masovian Voivodeship, Poland (On-Site)
2 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

QS Quacquarelli Symonds  - Senior Data Scientist

QS Quacquarelli Symonds

Kuala Lumpur, Federal Territory Of Kuala Lumpur, Malaysia (Hybrid)
1 Month ago
Finz Games - Product Designer

Finz Games

Lahore, Punjab, Pakistan (On-Site)
3 Years ago
IGT - Real Estate Portfolio Program Manager

IGT

Providence, Rhode Island, United States (On-Site)
2 Months ago
AeroSpike - Staff Site Reliability Engineer

AeroSpike

United States (Remote)
1 Month ago
ISS Stoxx - Index Surveillance & Monitoring Associate

ISS Stoxx

Prague, Czechia (On-Site)
1 Year ago
Canonical - Software Engineer - Data Infrastructure

Canonical

(Remote)
2 Months ago
ChainGuard - Sales Operations Analyst

ChainGuard

United States (Remote)
2 Weeks ago
Pluralsight - People Systems Workday Analyst

Pluralsight

Westlake, Texas, United States (Hybrid)
3 Weeks ago
GoTo Group - Product Operations Lead

GoTo Group

Jakarta, Indonesia (On-Site)
6 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

Saviynt - Platform Support Engineer

Saviynt

Bengaluru, Karnataka, India (Hybrid)
1 Week ago
Mistral AI - AI Solution Architect

Mistral AI

Singapore (Hybrid)
2 Months ago
Aspire - Senior Software Architect

Aspire

Bengaluru, Karnataka, India (Hybrid)
2 Years ago
Qualcomm - CPU DV Infrastructure Engineer

Qualcomm

Cork, County Cork, Ireland (On-Site)
1 Week ago
Netradyne - Site Reliability Engineer (SRE)

Netradyne

Bengaluru, Karnataka, India (On-Site)
9 Months ago
ARHS - Solutions Architect (Sharepoint)

ARHS

Warsaw, Masovian Voivodeship, Poland (On-Site)
9 Months ago
zoox - Software Engineer, Metrics Tooling and Automation

zoox

Foster City, California, United States (Hybrid)
3 Months ago
Loyalty Juggernaut - Solutions Engineer

Loyalty Juggernaut

Hyderabad, Telangana, India (On-Site)
1 Year ago
Google - Software Engineer, Large Language Model, Scale and Infrastructure

Google

Mountain View, California, United States (On-Site)
1 Week 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.

Taipei City, Taiwan (On-Site)

Beijing, Beijing, China (On-Site)

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

Santa Clara, California, United States (Hybrid)

Bengaluru, Karnataka, India (Hybrid)

Yokne'am Illit, North District, Israel (On-Site)

Yokne'am Illit, North District, Israel (On-Site)

Yokne'am Illit, North District, Israel (On-Site)

Dubai, Dubai, United Arab Emirates (On-Site)

Beijing, Beijing, China (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