2,060,428open jobs
121,815companies
245,120added this week
Browse all
Salary
$184k – $288k per year
Location
In office (Santa Clara, United States, Seattle)
Seniority
Architect · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 27, 2026. NVIDIA scores B on the Alion truth index.

Overview
Company
Impact
Profile match
NVIDIA is an American technology company founded in 1993 that invented the graphics processing unit and has become the dominant supplier of accelerated computing platforms for artificial intelligence. Its portfolio spans data centre GPUs and systems built on the Hopper and Blackwell architectures, GeForce consumer graphics, automotive and robotics platforms, high-speed networking acquired with Mellanox, and the CUDA software stack that binds the ecosystem together. Headquartered in Santa Clara, California, the company sells to cloud providers, enterprises, research institutions and gamers worldwide and is one of the most valuable listed businesses on the Nasdaq.

Do you thrive on taking a strategic product from launch to go to market at scale across the world’s largest customers? NVIDIA is seeking a hands-on, action-oriented Senior Solutions Architect to join our team, focused on the technical execution across engineering, product, and sales teams and support to achieve Hyperscaler-scale deployment for our groundbreaking data center products. This role requires a strong passion for system design and a successful history of engaging with customers on a deep technical level, preferably with direct datacenter knowledge and experience debugging datacenter platforms. You will serve as a critical bridge between product strategy and large-scale customer deployment.

What you’ll be doing:

  • Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud built with the latest NVIDIA GPU supercomputers for new and existing customers.

  • Act as a technical specialist on GPU and networking products, directly supporting sales account managers to secure design wins.

  • Provide technical and onsite support to solve complex hardware and software problems, with a focus on deep learning inference.

  • Collect, maintain, and analyze complex deployment data and logs to assess product health, identify technical challenges, and guide the customer to resolution of roadblocks.

  • Actively establish and nurture technical relationships with engineers and architects at key customer accounts.

  • Identify customer architectures and key product requirements in the CSP/OEM AI market to successfully implement NVIDIA's solutions.

  • Develop technical solutions including hardware & software demos and example system designs.

  • Offer technical and sales training to direct sales teams and channel partners.

What we need to see:

  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, or other Engineering fields or equivalent experience.

  • 8+ years of work-related experience in the high-tech electronics industry, particularly in system design or technical customer support roles.

  • Technical competence to roll up your sleeves, look at logs and deployment data, and guide a customer to the resolution of technical issues

  • Expert analytical and problem-solving abilities.

  • Capable of excelling in a dynamic, constantly evolving environment.

  • Excellent written and oral communication skills in English, with the ability to collaborate effectively with management and engineering teams.

Ways to stand out from the crowd:

  • Experience working in a Hyperscaler or Cloud Service Provider (CSP) environment or extensive experience engaging with them as a strategic partner.

  • Hands-on experience with NVIDIA hardware (e.g., ARM CPU, H100, GB200) and software libraries, with an understanding of performance tuning and error diagnostics.

  • Established track record of driving a product from the pilot phase to high-volume, at-scale deployment in a data center environment.

  • Practical knowledge of NVIDIA systems technology such as NCCL, DCGM, and UFM.

  • Knowledge of Embedded Linux Systems, APIs, and similar embedded OS.

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!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 31, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive 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.
Free account
Stop reading job ads. Get the ones that fit.
One free account turns this page into a shortlist built around your stack, your level and your pay.
Match on every job. Stack, seniority, pay and location, scored against your profile.
2,060,428 open roles. Read straight off company career pages, refreshed every day.
Unlimited applications. Every one you send is tracked in one place, on-site or on a company board.
3 tailored CVs a month. Rewritten for the exact job you are applying to. Included free.
Create a free account Continue with Google
Free forever. No card. Under a minute.

Your match

How well do you fit this role?
Two answers are enough for a real match. No account needed.
Check my fit
Answers stay in this browser until you create an account.

Recommended for you based on this role

Solutions
Similar stack
Same company
Santa Clara
$150k – $200k per year · Equity · Remote (United States) · 7+ years exp · New York
DevOps
GCP
Datadog
Azure
AWS
Kubernetes
Apply
$111k – $188k per year · Equity · In office · Full-Time · 7+ years exp · Bachelor's Degree · Washington · Alpharetta
DevOps
Incident Management
Management
Microsoft Project
Scrum
Apply
≈ $166k – $321k per year (Estimated) · Equity · Remote (United States) · 7+ years exp · Los Angeles · Irvine · Santa Monica
Apply
≈ $115k – $230k per year (Estimated) · In office · Full-Time · 5+ years exp · Bachelor's Degree · Austin
Python
JavaScript
TypeScript
AI/ML
Copilot
ChatGPT
Prompt Engineering
AI Agents
RAG
OpenAI
Human-in-the-Loop
Machine Learning
DevOps
Azure
Apply
$200k – $271k per year · Equity · In office · TS/SCI · Full-Time · 10+ years exp · Bachelor's Degree · Arlington · Seattle · Herndon
AI/ML
AI Agents
Agentic Workflows
Multi-Agent Systems
DevOps
AWS
Apply
≈ $136k – $262k per year (Estimated) · Hybrid · 12+ years exp · Bachelor's Degree · Santa Clara
SQL
Databases
Google BigQuery
DevOps
GCP
Azure
CI/CD
Jenkins
AWS
Docker
Kubernetes
Twelve-Factor App
Tekton
Google GKE
Google Cloud Run
GitLab
IAM
Apply
Engineering Lead 7 hours ago
≈ $146k – $291k per year (Estimated) · Hybrid · 5+ years exp · Bachelor's Degree · Santa Clara
JavaScript
Java
TypeScript
Java
Maven
Spring Boot
Hibernate
Spring MVC
Spring Security
Spring Cloud
Gradle
Databases
Oracle
RabbitMQ
Apache Kafka
AI/ML
Prompt Engineering
LLM
RAG
OpenAI
Frontend
Angular
Bootstrap
React.js
Mobile
Clean Architecture
DevOps
Rest API
GCP
GitHub Actions
Azure
CI/CD
Jenkins
AWS
Docker
Kubernetes
Amazon EKS
Google GKE
Azure AKS
SOAP
Management
Agile
Apply
$160k – $240k per year · Equity · In office · Full-Time · 3+ years exp · Master's Degree · Pleasanton · Santa Clara
Python
SQL
Python
pySpark
AI/ML
LangGraph
LangChain
Spark
DSPy
Fine-tuning
Reinforcement Learning
Multimodal AI
Computer Vision
AI Agents
NLP
DeepEval
PEFT
Transformers
TensorFlow
PyTorch
LLM
RAG
Knowledge Graph
Recommender Systems
Machine Learning
DevOps
GCP
AWS
Docker
Kubernetes
Robotics
Imitation Learning
Analytics
A/B Testing
Apply
≈ $130k – $239k per year (Estimated) · In office · Full-Time · 5+ years exp · High School Diploma · Santa Clara
Apply
ATE Technician 1 day ago
$45k – $100k per year · In office · 1+ year exp · Santa Clara
DevOps
Linux
Chips/EDA
Advantest / Teradyne ATE
Apply
See all jobs
This is one of many
2,060,428 more open roles from verified company boards, updated every day.