Solutions Architect, Generative AI

2 Months ago • 5 Years + • Devops • $148,000 PA - $235,750 PA

Job Summary

Job Description

NVIDIA seeks a Solutions Architect, Generative AI, to develop end-to-end Generative AI solutions for enterprise clients. Responsibilities include leveraging NVIDIA AI SDKs and APIs, designing GPU-accelerated pipelines, optimizing compute resource utilization, and building solutions using ML/DL technologies (language and multimodal models, information retrieval, etc.). The role involves creating reference architectures, improving NVIDIA products, addressing scaling challenges, and sharing expertise through training and product contributions. The ideal candidate will have strong experience in Deep Learning, large-scale Gen AI applications, and cluster orchestration tools.
Must have:
  • 5+ years Deep Learning/ML experience
  • Strong coding skills (Python, C/C++, Bash, Linux)
  • Gen AI application development (information retrieval, model optimization)
  • Experience with Docker, Kubernetes, SLURM
  • AI workload optimization (Ethernet, InfiniBand)
Good to have:
  • NVIDIA AI products (NIM, Nemo Retriever, Nemo Microservices, Nemo Framework)
  • NVIDIA Spectrum-X expertise
  • NVIDIA Collective Communication Library (NCCL) experience
Perks:
  • Equity
  • Benefits

Job Details

Do you want to be part of the team that brings Artificial Intelligence (AI) technology to the field? We are looking for a Solution Architect or Data Scientist to join the NVIDIA AI Enterprise (NVAIE) SA Segment team. We specialize on the newest technology and advances in Machine Learning, Deep Learning, Generative AI, and Cloud. The vision of the NVAIE Segment team is to use our deep expertise to guide and enable the successful adoption at data center scale of NVIDIA AI Enterprise Software!

If you are passionate about Generative AI and how it can be applied to solve real-world problems, we should talk. NVIDIA is the world leader in GPU accelerated computing and AI, and is looking for developers like you to design and build enterprise AI solutions using our newest technology. As a member of the NVAIE Segment Solution Architecture team, you will work closely with customers and partners to tackle hard problems in customizing and deploying Generative AI workloads in production at scale.

What you’ll be doing:

  • A huge part of our work involves developing end-to-end Generative AI solutions for enterprise use cases. We help customers adopt NVIDIA AI SDKs and APIs by offering deep technical expertise and designing GPU-accelerated pipelines that optimize compute resource utilization and improve workload performance.

  • We solve customer problems by building solutions using Machine Learning and Deep Learning technology including language and multimodal models, information retrieval, domain customization, reasoning, inferencing, agentic systems, and other sophisticated Generative AI workloads.

  • As we work with customers across multiple industries, we build the reference architectures needed to deploy and optimize workloads at large scale. With this knowledge, we help improve NVIDIA products and build creative solutions to overcome scaling challenges.

  • We contribute to the wider organization and community by sharing our expert knowledge with others. This can vary from product engineering contributions to building and delivering hands-on training.

Above all, you will be part of the team that helps bring NVIDIA technology to life in the Enterprise! We empower you and give you the tools to achieve this with the backing of all of NVIDIA, including other Solution Architects, Product, Engineering and Research teams. You’ll get to be the face and trusted expert advisor that our customers and partners rely on.

What we need to see:

  • Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).

  • 5+ years experience demonstrating an established track record in Deep Learning and Machine Learning; experience with GPUs as well as expertise in using deep learning frameworks such as TensorFlow or PyTorch.

  • Strong coding development and debugging skills. Including experience with Python, C/C++, Bash, and Linux.

  • Real-world development of large scale Gen AI applications, including but not limited to information retrieval, model pre-training and post-training, model and pipeline evaluation, inference optimization, guard-railing, agents, and reasoning systems.

  • Demonstrated experience with cluster orchestration tools including Docker, Kubernetes, and SLURM across cloud service providers and on premise.

  • Demonstrated expertise in optimizing AI training and inference workloads over high-performance networks, including both Ethernet and InfiniBand fabrics.

  • Ability to learn fast and quickly adapt to change.

  • Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.

Ways to stand out from the crowd:

  • Proven expertise and hands-on experience with NVIDIA AI products including NIM, Nemo Retriever, Nemo Microservices, and Nemo Framework.

  • Expertise on NVIDIA Spectrum-X.

  • Experience with NVIDIA Collective Communication Library (NCCL).

  • Extensive engineering and customer experience on projects with multiple collaborators.

  • Show willingness and ability to dig into unfamiliar territories to solve complex problems relying on experience from previous work.

The base salary range is 148,000 USD - 235,750 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

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

NVIDIA - Senior Hardware Validation Engineer

NVIDIA

Santa Clara, California, United States (On-Site)
3 Months ago
Bot VFX  - Render Wrangler

Bot VFX

Chennai, Tamil Nadu, India (On-Site)
2 Months ago
Epic Games - Senior QA Programmer

Epic Games

Montreal, Quebec, Canada (On-Site)
5 Months ago
Vigaet - Project Coordinator Internship

Vigaet

(On-Site)
6 Months ago
The Walt Disney Company - Island Maintenance Technician - Mechanic

The Walt Disney Company

The Bahamas (On-Site)
2 Months ago
endava - DevOps Engineer

endava

Bogotá, Bogota, Colombia (On-Site)
1 Month ago
Zazz - Solutions Architect - Backend Development

Zazz

India (On-Site)
6 Months ago
Enphase Energy - Senior Staff Engineer, Energy Management Cloud (Backend)

Enphase Energy

Bengaluru, Karnataka, India (On-Site)
5 Months ago
Ion - Cloud Engineer Kubernetes

Ion

Collecchio, Emilia-Romagna, Italy (Hybrid)
8 Months ago
FICO - CCS DevOps - Engineer II

FICO

Guadalajara, Jalisco, Mexico (Remote)
1 Month ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Granicus - SLED Account Executive - Utilities

Granicus

United States (Remote)
1 Month ago
Rackspace Technology - Network Security Engineer III

Rackspace Technology

Gurugram, Haryana, India (Remote)
3 Weeks ago
endava - Senior People Operations Associate

endava

Zagreb, Croatia (On-Site)
1 Month ago
CD PROJEKT RED - Engineering Director, Engine

CD PROJEKT RED

Boston, Massachusetts, United States (On-Site)
3 Months ago
NVIDIA - Senior Functional Test Engineer

NVIDIA

Yokne'am Illit, North District, Israel (On-Site)
5 Months ago
Mcdonalds - Software Engineer II - C++/C#

Mcdonalds

Mexico City, Mexico City, Mexico (On-Site)
5 Months ago
e2 open - Senior Enterprise Service Engineer

e2 open

Hyderabad, Telangana, India (On-Site)
1 Month ago
London stock Exchange - Research Intern (Vietnamese)

London stock Exchange

Penang, Malaysia (On-Site)
2 Months ago
Capgemini - PMO -B

Capgemini

Chennai, Tamil Nadu, India (On-Site)
1 Month ago
Palo Alto Networks - Staff E-TAC

Palo Alto Networks

Bengaluru, Karnataka, India (On-Site)
3 Weeks ago

Get notifed when new similar jobs are uploaded

Jobs in Santa Clara, California, United States

Adyen - Senior Software Engineer (Java)

Adyen

Chicago, Illinois, United States (Hybrid)
1 Month ago
Rippling - Account Executive - Mid Market - Global Cloud (Cross-Sell)

Rippling

New York, United States (On-Site)
3 Months ago
Publicis Groupe - General Manager

Publicis Groupe

Grapevine, Texas, United States (On-Site)
1 Week ago
Toast - Territory Account Executive

Toast

Livonia, Michigan, United States (On-Site)
2 Weeks ago
IGT - Senior Learning Design Specialist

IGT

Providence, Rhode Island, United States (Hybrid)
1 Month ago
Apple - SoC Power Analysis and Optimization Engineer

Apple

San Diego, California, United States (On-Site)
1 Month ago
Toku - Senior UI Engineer/Senior Frontend Engineer

Toku

New York, United States (Remote)
2 Months ago
Tekion Corp - Senior Product Manager - Analytics

Tekion Corp

United States (On-Site)
1 Month ago
bounteous - Murex Functional Analyst (Front Office)

bounteous

New York, United States (On-Site)
1 Week ago
lifechruh - Project Architect

lifechruh

Edmond, Oklahoma, United States (On-Site)
8 Months ago

Get notifed when new similar jobs are uploaded

Devops Jobs

Alpha Sense - Lead AI Platform Engineer

Alpha Sense

New York, United States (On-Site)
1 Month ago
Journee - Senior Cloud Infrastructure Engineer

Journee

Berlin, Berlin, Germany (Hybrid)
8 Months ago
Zscaler - Staff Software Development Engineer - DevOps

Zscaler

Bengaluru, Karnataka, India (On-Site)
1 Month ago
Ion - Cloud Engineer Kubernetes

Ion

Castellazzo Bormida, Piedmont, Italy (Hybrid)
8 Months ago
Devoteam - Cloud Native Exchange Platform Architect - M/F

Devoteam

Levallois-Perret, Île-de-France, France (On-Site)
2 Weeks ago
Rackspace Technology - Cloud Engineer II (Azure and Terraforms)

Rackspace Technology

Gurugram, Haryana, India (On-Site)
2 Weeks ago
Sporty - LatAM Site Reliability Engineer

Sporty

(On-Site)
1 Year ago
Trend Micro - Cloud Engineer (Golang/Python, Backend Focus) 雲端開發工程師

Trend Micro

Taipei City, Taiwan (On-Site)
8 Months ago
USE Insider - Solutions Architect - Chile

USE Insider

Chile Chico, Aysén, Chile (Hybrid)
8 Months ago
Apple - On-device ML Infrastructure Engineer (ML Execution)

Apple

Cupertino, California, United States (On-Site)
1 Month 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