ZipRecruiter

Log In

1

From Home Nvidia Engineering Jobs (NOW HIRING)

Nvidia

Senior Solutions Architect, Agentic AI

OR · On-site +1

... engineering teams. Leads projects from start to finish in a fast-paced, multitasking setting. Ways to stand out from the crowd: Practical experience working directly with the NVIDIA agentic AI ...

Nvidia

Senior Solutions Architect, Gen AI

OR · On-site +1

Partner with NVIDIA engineering, product, sales teams to secure design wins at customers. Enable ... Ways To Stand Out From The Crowd: Experience with Agentic AI frameworks, tools, and protocols e.g ...

Nvidia

Senior Solutions Architect, Networking

OR · On-site +1

Partner with NVIDIA engineering, product, sales teams to secure design wins at customers. Enable ... stand out from the crowd: Networking certificates such as CCIE (written and lab). Spectrum-X ...

previous page

Showing results 41-60

All Jobsengineering Jobsremote JobsFrom Home Nvidia Engineering Jobs

From Home Nvidia Engineering information

See salary details

$46.5K

$146.9K

$174K

How much do from home nvidia engineering jobs pay per year?

As of Sep 2, 2026, the average yearly pay for from home nvidia engineering in the United States is $146,868.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,500.00 and $173,000.00 per year, depending on experience, location, and employer.

What is the difference between From Home Nvidia Engineering vs From Home Nvidia Software Developer?

AspectFrom Home Nvidia EngineeringFrom Home Nvidia Software Developer
Required CredentialsBachelor's in Engineering, Computer Science, or related field; often requires hardware or systems certificationsBachelor's in Computer Science, Software Engineering, or related; certifications like Microsoft or AWS are common
Work EnvironmentPrimarily hardware-focused, involving testing, troubleshooting, and designing GPU systems remotelyPrimarily software-focused, involving coding, debugging, and software development remotely
Employer & Industry UsageUsed by Nvidia for hardware and system design roles, often in R&D or product developmentUsed by Nvidia for software development roles, including driver development and application software

From Home Nvidia Engineering roles focus on hardware, systems, and GPU design, requiring engineering credentials. In contrast, From Home Nvidia Software Developer roles center on coding and software solutions, requiring programming skills. Both roles are remote, industry-specific, and essential to Nvidia's product development, but they differ in technical focus and required expertise.

More about From Home Nvidia Engineering jobs

What cities are hiring for From Home Nvidia Engineering jobs?

Cities with the most From Home Nvidia Engineering job openings:

What are the most commonly searched types of Nvidia Engineering jobs?

The most popular types of Nvidia Engineering jobs are:

What states have the most From Home Nvidia Engineering jobs?

States with the most job openings for From Home Nvidia Engineering jobs include:

What job categories do people searching From Home Nvidia Engineering jobs look for?

The top searched job categories for From Home Nvidia Engineering jobs are:

From Home Nvidia Engineering jobs near you
Infographic showing various From Home Nvidia Engineering job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.

Senior Solutions Architect, Financial Services Banking

Nvidia

New York, NY

Full-time

Re-posted 26 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies

Job description

The Financial Services Solutions Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing. Solutions Architects work with top minds in Financial Services - Banking, Consumer Finance - to accelerate High-Performance Computing and AI workloads across various use cases. We're seeking an inquisitive, hard-working, and creative individual passionate about helping tackle challenges. Join us in this endeavor!

What You'll Be Doing:

  • Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.

  • Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures.

  • Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology.

  • Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction.

  • Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.

What We Need To See:

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

  • 12+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++

  • Experience with ML/DL algorithms with frameworks such as TensorFlow, Jax, PyTorch, Spark, Dask

  • Ability to communicate ideas and share code clearly through blog posts, GitHub

  • Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams)

  • Effective verbal/written communication and technical presentation skills

  • Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team

Ways To Stand Out From The Crowd:

  • Experience building and deploying Banking and Payments modeling techniques, such as: Time-series, Transformers, GraphNNs, XGBoost, Recommender Systems, etc

  • Familiarity with NLP Generative and Agentic AI models, frameworks, and applications

  • Skilled in deploying ML/DL models at scale on on-prem or public cloud computing clusters in production

  • Development experience with NVIDIA software libraries and GPUs

  • Knowledge of MLOps technologies such as Docker/containers, Kubernetes, data center deployments etc. Experience working with enterprise developers building AI, HPC, or data analytics applications

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 224,000 USD - 356,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 19, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

View All Nvidia Jobs

Apply