Solutions Architect, Data Science

6 Months ago • 5-8 Years • Data Analysis

Job Summary

Job Description

NVIDIA seeks a Data Science Solutions Architect with expertise in ML, DL, and data science platforms. This role involves developing HPC solutions using NVIDIA SDKs like Modulus and CUDA for physics simulations, designing GPU-accelerated workflows for complex simulations, deploying AI models for physics modeling, and supporting customers in leveraging NVIDIA platforms. The architect will be the primary technical contact, working on proof-of-concept demonstrations and building relationships with key executives to promote accelerated computing. The role requires strong collaboration skills and engagement with diverse stakeholders, including developers, researchers, data scientists, and senior leaders.
Must have:
  • Master's/Ph.D. in relevant field
  • 5+ years HPC experience in physics modeling
  • Proficient in Python, C++/CUDA preferred
  • Expertise in numerical methods and computational physics
  • Experience with NVIDIA Modulus and AI model deployment
Good to have:
  • Experience with NVIDIA tools for AI model deployment
  • Skill in optimizing physics simulations on NVIDIA GPUs
  • Background in simulation software for engineering applications
  • Familiarity with NIM

Job Details

NVIDIA’s Solution Architecture team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. We work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain constructive collaboration in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest HPC architecture coupled with the most advanced neural network models, changing the way people interact with technology.

As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. 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:

  • Develop HPC solutions using NVIDIA SDKs like Modulus and CUDA for physics simulations.

  • Design GPU-accelerated workflows for complex simulations in optics, electromagnetics, and fluid dynamics.

  • Deploy AI models for physics modeling and simulations.

  • Support customers in leveraging NVIDIA platforms for physics modeling.

  • Enhance NVIDIA's GPU capabilities in scientific computing applications.

  • Apply NVIDIA Inference Microservices (NIM) to various domains, including language processing, computer vision, and scientific simulations.

What we need to see:

  • Master's or Ph.D. in Electrical Engineering, Physics, Applied Mathematics, or related field.

  • 5+ years in HPC, focusing on physics modeling and simulations.

  • Sufficient experience in physics and GPU-accelerated frameworks.

  • Proficient in Python; C++ and CUDA experience preferred.

  • Expertise in numerical methods and computational physics.

Ways to stand out from the crowd:

  • Experience with NVIDIA Modulus for physics-informed machine learning.

  • Proficiency in NVIDIA tools for AI model deployment.

  • Skill in optimizing physics simulations on NVIDIA GPUs.

  • Background in simulation software for engineering applications.

  • Ability to solve complex challenges in GPU-accelerated physics simulations.

  • Familiarity with NIM for deploying and managing AI models.

At NVIDIA, we're tackling some of the most challenging computational problems in the industry, including those in advanced physics simulations and manufacturing processes. If you're passionate about leveraging GPU technology to revolutionize scientific computing and engineering simulations in these fields, we want to hear from you.

NVIDIA is an equal opportunity employer and values diversity in our workforce. We do not discriminate on the basis of race, color, religion, gender, sexual orientation, national origin, disability status, age, or any other characteristic protected by law.

Similar Jobs

Epic Games - Senior Tools Programmer

Epic Games

Cary, North Carolina, United States (On-Site)
4 Months ago
CD PROJEKT RED - Senior Gameplay Designer

CD PROJEKT RED

Warsaw, Masovian Voivodeship, Poland (On-Site)
5 Months ago
Playtika - TypeScript Technical Lead

Playtika

Ukraine (On-Site)
8 Months ago
Ansys - Senior R&D Engineer (ECAD)

Ansys

Austin, Texas, United States (On-Site)
1 Week ago
rivos - Deep Learning Libraries Engineer

rivos

Santa Clara, California, United States (Hybrid)
1 Year ago
Rackspace Technology - Data Scientist

Rackspace Technology

Alexandria, Alexandria Governorate, Egypt (Remote)
6 Months ago
GT HQ - Data Engineer

GT HQ

Warsaw, Masovian Voivodeship, Poland (Remote)
2 Weeks ago
Pomelo - Data Scientist, AI Products (All Levels)

Pomelo

United States (On-Site)
2 Weeks ago
oportun - Senior Data Engineer - DBA

oportun

Mexico (Remote)
1 Month ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Backbone - Electrical Engineer

Backbone

Atherton, California, United States (Hybrid)
1 Year ago
Tesla - Vision Systems Engineer

Tesla

Brandenburg, Germany (On-Site)
5 Months ago
Epic Games - Engine Programmer, UEFN

Epic Games

Bellevue, Washington, United States (On-Site)
3 Months ago
Scanline VFX - Compositor

Scanline VFX

Vancouver, British Columbia, Canada (Hybrid)
2 Weeks ago
KOJIMA PRODUCTIONS - Sound Programmer

KOJIMA PRODUCTIONS

Tokyo, Japan (On-Site)
8 Months ago
Ruselle Investments - Portfolio Analyst

Ruselle Investments

Mumbai, Maharashtra, India (On-Site)
1 Week ago
Rockstar Games - Animation R&D Programmer: Retargeting

Rockstar Games

Oakville, Ontario, Canada (On-Site)
3 Months ago
rivos - Data Parallel Accelerator Post-Silicon Performance Lead

rivos

Santa Clara, California, United States (Hybrid)
1 Month ago
Riot Games - Software Engineer - Platform & Tools (Contractor)

Riot Games

Dublin, County Dublin, Ireland (On-Site)
8 Months ago
24bit games - Senior Game Developer

24bit games

(Remote)
2 Months ago

Get notifed when new similar jobs are uploaded

Jobs in Taipei City, Taiwan

binance - Operations Specialist - Web3 Wallet

binance

Taipei City, Taiwan (Remote)
4 Months ago
appier - Senior Machine Learning Scientist

appier

Taipei City, Taiwan (On-Site)
4 Weeks ago
rivos - Quality and Reliability Engineer

rivos

Hsinchu, Hsinchu City, Taiwan (Hybrid)
1 Week ago
appier - Technical Solution Engineer Intern

appier

Taipei City, Taiwan (On-Site)
2 Months ago
cirrus logic - Staff Embedded Software Engineer

cirrus logic

Taipei City, Taiwan (Hybrid)
2 Months ago
binance - Senior QA Engineer - Growth Tech

binance

Taipei City, Taiwan (Hybrid)
1 Year ago
Corsair - Senior Product Manager - Keyboard

Corsair

Taipei City, Taiwan (On-Site)
4 Months ago
Corsair - Product Engineer

Corsair

Taipei City, Taiwan (On-Site)
4 Months ago
Trend Micro - (Sr.) Backend Engineer

Trend Micro

Taipei City, Taiwan (On-Site)
9 Months ago
rivos - SOC Physical Design - Full time

rivos

Hsinchu, Hsinchu City, Taiwan (Hybrid)
9 Months ago

Get notifed when new similar jobs are uploaded

Data Analysis Jobs

Next Level Business Services - Senior Data Engineer

Next Level Business Services

Chicago, Illinois, United States (On-Site)
9 Months ago
ShyftLabs - Staff Data Engineer

ShyftLabs

Toronto, Ontario, Canada (Hybrid)
2 Months ago
Capgemini - Azure Data Engineer (Software Engineer/ Lead)

Capgemini

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Apple - Senior Data Scientist, AIML Measurement

Apple

Seattle, Washington, United States (On-Site)
1 Month ago
DraftKings - Lead Data Science Engineer, Sportsbook

DraftKings

Boston, Massachusetts, United States (On-Site)
1 Year ago
Capgemini - Data Scientist

Capgemini

Pune, Maharashtra, India (On-Site)
2 Months ago
kaizen gaming  - Senior Data Scientist

kaizen gaming

Thessaloniki, Greece (Hybrid)
1 Month ago
The Globel Talent Co - Data Analyst

The Globel Talent Co

Johannesburg, Gauteng, South Africa (Remote)
3 Months ago
Brillio - Data Science Lead

Brillio

Chicago, Illinois, United States (Hybrid)
1 Week ago
luxsoft - Data Engineer - PostgreSQL

luxsoft

Warsaw, Masovian Voivodeship, Poland (On-Site)
2 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.

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