ZipRecruiter

Log In

1

From Home Nvidia Engineering Jobs (NOW HIRING)

Nvidia

Solutions Architect, OEM AI

Santa Clara, CA

$74 - $97.50/hr

Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM ... Ways to stand out from the crowd: * Direct experience building, deploying, or contributing to ...

Nvidia

OR

$63 - $83/hr

Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM ... Ways to stand out from the crowd: * Direct experience building, deploying, or contributing to ...

Nvidia

OR · Hybrid

$54.50 - $72/hr

NVIDIA's Developer Technology Engineering team is a global network of world-class experts ... Good communication, organization and prioritization skills Ways to stand out from the crowd:

Nvidia

OR

$63.50 - $87/hr

Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on ... Ways to stand out from the crowd: * Practical experience with NVIDIA GPUs, software libraries ...

Nvidia

Developer Advocate - Agentic AI

Santa Clara, CA · On-site

The NVIDIA developer marketing group is looking for a developer advocate who is passionate about ... Ways to stand out from the crowd: * 10+ years of combined experience in a technical role at a ...

Nvidia

OR

D. degree from a leading university in software engineering or computer science. * In-depth ... NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive ...

next page

Showing results 1-20

People also search for

All 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 Jun 7, 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.

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:
From Home Nvidia Engineering jobs near you
Solutions Architect, OEM AI

Solutions Architect, OEM AI

Nvidia

Santa Clara, CA

$74 - $97.50/hr

Full-time

Posted 18 days ago

Job description

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. Want to be part of the team that empowers NVIDIA's OEM technical counterparts to develop accelerated compute and AI solutions for their customers? We are looking for a hardworking and self-starting Solutions Architect with a passion for accelerated compute, data workflows and AI security to join our Solutions Architecture and Engineering team. This role focuses on scaling the efficiency of our information and protection integrations, ensuring our customers and partners are equipped to build the future of innovative defense.

As a Solutions Architect in Accelerated Compute Data & Security passionate about high-performance computing, you will focus on integrating NVIDIA's software and tools with our OEM partners' offerings. This may involve working with AI Data Pipeline solutions. Your efforts will center on driving adoption, building proof-of-concept technologies, and aligning our technical messaging with our OEMs' broader product strategies.

What you'll be doing:

  • Design and implement GPU-accelerated pipelines capable of processing very large (multi-TB and PB sizes) cyber, network, and industry datasets.

  • Develop proof-of-concept discussions that assist and illustrate how to address accelerated and AI compute workloads to tackle real customer issues.

  • Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies.

  • Guide the development of Agentic AI workflows, including semantic search, retrieval-augmented generation (RAG), and Graph Neural Network (GNN) based applications for threat detection.

What we need to see:

  • BS, MS, or PhD in Computer Science, AI Engineering, Data Science, or a related field (or equivalent experience).

  • 5+ years of experience in roles focused on technology, including Solutions Architecture, Data Science, or AI Research.

  • Deep expertise in supervised and unsupervised machine learning, deep learning, and statistics, specifically applied to loosely-structured data and security logs.

  • Strong coding, debugging, and pipeline development skills using Python, C/C++, Bash, and Linux utilities.

  • Hands-on experience with big data and AI frameworks, including GPU acceleration, Spark, and distributed computing environments.

  • Exceptional communication and presentation skills, with an ability to distill complex technical topics into clear, understandable content for an engaged audience.

  • Strong analytical and problem-solving skills, along with an ability to multitask efficiently in a dynamic environment.

Ways to stand out from the crowd:

  • Direct experience building, deploying, or contributing to NVIDIA opensource projects and tools like Morpheus, RAPIDS, NVIDIA DPU DOCA or similar NVIDIA accelerated compute libraries.

  • Demonstrated expertise integrating AI workloads with Splunk or data pipeline architectures or AI security protection ecosystems.

  • Experience working in a technical leadership role or principal investigator capacity on large-scale or secure enterprise projects.

  • Background in Agentic AI, LLM deployment, and building ingestion/retrieval technologies.

  • Public speaking experience at industry conferences or large technical events.

Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 11, 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.
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

Year founded

1993

View All Nvidia Jobs

Apply