Solutions Architect, Generative AI

6 Days ago • 5 Years + • Artificial Intelligence • $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

ION - Senior DevSecOps Engineer, Italy

ION

Collecchio, Emilia-Romagna, Italy (On-Site)
6 Months ago
Gigamon - Summer 2025 Embedded Software Engineering Intern

Gigamon

Santa Clara, California, United States (Hybrid)
2 Weeks ago
Riot Games - Principal Software Engineer - VALORANT, Foundations, Build Platforms

Riot Games

Los Angeles, California, United States (On-Site)
7 Months ago
GoFundMe - Site Reliability Engineer II

GoFundMe

Buenos Aires, Buenos Aires, Argentina (Hybrid)
7 Hours ago
bazzar voice  - Software Engineer (Frontend)

bazzar voice

Belfast, Northern Ireland, United Kingdom (Hybrid)
1 Month ago
Google - Software Engineer III, Core Machine Learning, Google Cloud

Google

Mountain View, California, United States (On-Site)
5 Months ago
NVIDIA - Senior Solutions Architect, Retail

NVIDIA

Arkansas, United States (Remote)
2 Weeks ago
Trend Micro - Sr. Data Scientist (AI Lab)

Trend Micro

Taipei City, Taiwan (On-Site)
7 Months ago
Google - Software Engineer II, AI/ML, Cloud AI Infrastructure

Google

Taipei City, Taiwan (On-Site)
3 Days ago
SymphonyAI - Data Scientist

SymphonyAI

Bengaluru, Karnataka, India (On-Site)
5 Months ago

Get notifed when new similar jobs are uploaded

Similar Skill Jobs

Ajmera Infotech - Kubernetes Experts

Ajmera Infotech

Hyderabad, Telangana, India (On-Site)
5 Months ago
Logifuture - Senior DevOps Engineer

Logifuture

Vojvodina, Serbia (Remote)
1 Month ago
Axon - Senior Security Engineer

Axon

Scottsdale, Arizona, United States (Hybrid)
8 Hours ago
Bluevine - Senior DevOps Engineer

Bluevine

Bengaluru, Karnataka, India (Hybrid)
7 Months ago
G5 Games - Monitoring Engineer

G5 Games

(Remote)
1 Month ago
the embassy VFX  - Pipeline Developer

the embassy VFX

Vancouver, British Columbia, Canada (Hybrid)
2 Months ago
Tencent - Cloud Engineer

Tencent

(On-Site)
6 Months ago
Threat connect - Senior Java Engineer

Threat connect

(Remote)
22 Hours ago
Eleven Labs - Risk & Compliance

Eleven Labs

(Remote)
1 Month ago
Actian - Software Development Intern

Actian

(Remote)
2 Years ago

Get notifed when new similar jobs are uploaded

Jobs in Santa Clara, California, United States

Fluence - Senior Product Compliance Engineer

Fluence

Houston, Texas, United States (Hybrid)
6 Months ago
WPI - Summer Program Teacher --English Language Arts (Junior Academy at Mass Academy)

WPI

Worcester, Massachusetts, United States (On-Site)
19 Hours ago
Fandom - Senior Client Strategist, Gaming

Fandom

United States (Remote)
1 Month ago
PlayStation Global - Manager, Analytics Engineering

PlayStation Global

Los Angeles, California, United States (On-Site)
3 Weeks ago
CharacterAI - Staff Software Engineer, Site Reliability (SRE)

CharacterAI

San Francisco, California, United States (On-Site)
2 Weeks ago
Meta - Manager, TPM - Reality Labs

Meta

Redmond, Washington, United States (On-Site)
5 Months ago
FORTUNE - Business Development Sales Representative

FORTUNE

Chicago, Illinois, United States (On-Site)
1 Day ago
Anavation - Data Architect SME

Anavation

Clarksburg, West Virginia, United States (Remote)
1 Week ago
GameChanger  - Senior Full Stack Software Engineer, Video Platform

GameChanger

New York, New York, United States (Remote)
1 Month ago
Pattern® - Growth Marketing Manager

Pattern®

Lehi, Utah, United States (Hybrid)
7 Months ago

Get notifed when new similar jobs are uploaded

Artificial Intelligence Jobs

Google - Sensitive Content Analyst, Emerging AI Strategy

Google

Austin, Texas, United States (On-Site)
2 Weeks ago
Google - Technical Lead Manager, AI Flow Platform, GDM Deployment

Google

Mountain View, California, United States (On-Site)
2 Days ago
Ubisoft - Senior Software Engineer - AI Applications

Ubisoft

Saint-Mandé, Île-de-France, France (Hybrid)
1 Month ago
Scale AI - QA Engineer, Generative AI

Scale AI

Argentina (On-Site)
6 Months ago
ByteDance - AI Security Researcher - Security Flow

ByteDance

San Jose, California, United States (On-Site)
6 Months ago
Google - Software Engineer III, AI/ML, Cloud AI

Google

Sunnyvale, California, United States (On-Site)
2 Weeks ago
NVIDIA - Global Developer Relations Account Manager – Ansys

NVIDIA

Canada (On-Site)
2 Months ago
Microsoft - Member of Technical Staff, AI Reinforcement Systems

Microsoft

Zürich, Zurich, Switzerland (On-Site)
2 Weeks ago
ION - Senior AI Engineer, Italy

ION

Pisa, Tuscany, Italy (On-Site)
6 Months ago
Google - Software Engineer III, AI/ML

Google

Hyderabad, Telangana, India (On-Site)
2 Weeks 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)

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

Massachusetts, United States (On-Site)

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

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

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

Texas, United States (On-Site)

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

Santa Clara, California, United States (Hybrid)

Santa Clara, California, United States (Hybrid)

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