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From Home Nvidia Engineering Jobs (NOW HIRING)

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... across engineering, product, sales, legal, and government teams while clearly translating complex technical concepts for audiences from engineers to senior executives-driving adoption of NVIDIA ...

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Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams toidentify ... Ways to Stand Out from the crowd: * Experience working with AI-native startups building developer ...

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Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers ... If you're creative and autonomous, we want to hear from you! Your base salary will be determined ...

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Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers ... If you're creative and autonomous, we want to hear from you! Your base salary will be determined ...

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$63 - $83/hr

... NVIDIA. You will ensure Federal customers-from the DoD and Intelligence Community to Civilian agencies-can deploy Generative AI at scale. You are part architect, part developer advocate, and part ...

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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
Developer Relations Manager, Cloud Service Provider

Developer Relations Manager, Cloud Service Provider

Nvidia

San Jose, CA • On-site

Full-time

Posted 13 days ago

Job description

We are seeking a Developer Relations professional to lead handson technical engagement with CSP AI engineering teams to accelerate adoption of NVIDIA software and platforms across the AI stack. This role partners directly with AI developers to enable, help optimize, and integrate NVIDIA technologies, while funneling product feedback and priorities back into NVIDIA engineering and product teams. The objective is to build durable developer relationships, scale repeatable enablement, and derisk execution across a rapidly growing AI organization.

What you'll be doing

  • Serve as the primary technical DevRel interface for CSP AI engineering teams; build and maintain strong working relationships with key developer leads and stakeholders.

  • Drive NVIDIA software adoption by delivering handson guidance and technical support across relevant SDKs/libraries and platform integrations (e.g., model serving, training and inference optimizations).

  • Develop and maintain reference implementations, sample code, and "golden path" guidance that AI teams can reuse across projects to accelerate timetoproduction.

  • Lead technical performance investigations with AI engineers (profiling, bottleneck analysis, bestpractice tuning), partnering with NVIDIA engineering teams as needed to resolve issues quickly.

  • Build and execute a developer engagement plan (workshops/office hours/technical deep dives) and report progress, early signals, and blockers to internal stakeholders.

  • Create highquality technical demos and content (blogs, labs, tutorials, conference materials) that showcase NVIDIA solutions in AIrelevant scenarios and improve developer satisfaction.

  • Capture structured developer feedback, identify recurring friction points, and influence internal roadmap decisions by collaborating across NVIDIA engineering, product, marketing, PR, sales, and support.

  • Where applicable, help coordinate broader NVIDIA developer programs (e.g., ecosystem pathways) that increase reach and adoption.

What we need to see

  • BS/MS in Computer Science, Engineering, or equivalent experience.

  • A minimum of 12+ years of overall professional experience in the technology industry working with hyperscalers in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience with Artificial Intelligence software stacks and services

  • Strong software engineering background in one or more: Python/C++/CUDA, distributed systems, ML inference/serving, performance engineering, cloud platforms.

  • Demonstrated experience working directly with developers (internal or external), including technical enablement, troubleshooting, and shipping productiongrade artifacts.

  • Excellent communication skills: ability to translate deep technical concepts into clear guidance and repeatable best practices.

Ways to stand out from the crowd

  • Experience with GPU acceleration stacks and/or ML serving toolchains; familiarity with profiling and optimization workflows.

  • Experience building developer content: samples, tutorials, labs, or conference demos/talks.

  • Proven ability to influence crossfunctional partners and drive outcomes across engineering/product/field organizations.

  • Prior experience with hyperscalers or firstparty platform teams.

NVIDIA is widely considered to be one of the technology world's most desirable employers! We have some of the most forward-thinking and talented 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 March 28, 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.#deeplearning
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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

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