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Nvidia Engineering Jobs (NOW HIRING)

Beyond SOF

Nvidia Engineer

Washington, DC · On-site

Collaborate with the engineering team to integrate Nvidia technologies into projects. Stay updated on the latest Nvidia technologies and trends. Develop and optimize quantum computing solutions using ...

Beyond SOF

Nvidia Engineer

Washington, DC

Collaborate with the engineering team to integrate Nvidia technologies into projects. Stay updated on the latest Nvidia technologies and trends. Develop and optimize quantum computing solutions using ...

Nvidia

OR · On-site

... NVIDIA engineering and product teams to shape product roadmaps and partner enablement strategies. * Engage senior technical leaders (Chief Architects, CTOs, AI platform teams) at federal ISVs and ...

NVIDIA

Solutions Architect - OEM AI

Santa Clara, CA · On-site

$74 - $97.50/hr

... 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 ...

Nvidia

OR · On-site

Collaborate closely with NVIDIA engineering, research, product, and go-to-market teams toidentify emerging AI-native categories and influence NVIDIA's platform roadmap. * Build strong ...

Nvidia

OR · On-site

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 ...

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All JobsNvidia Engineering Jobs

Nvidia Engineering information

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$46.5K

$146.9K

$174K

How much do nvidia engineering jobs pay per year?

As of Jun 12, 2026, the average yearly pay for 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 engineers make $500,000?

Senior engineers in specialized fields such as software, hardware, or systems engineering at major technology companies can earn $500,000 or more annually, often including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills, and sometimes leadership roles or executive responsibilities.

What are the key skills and qualifications needed to thrive in the Nvidia Engineering position, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What is an Nvidia Engineering job?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

Which engineers does NVIDIA hire?

NVIDIA hires a variety of engineers including hardware engineers, software engineers, AI and deep learning engineers, and systems engineers. Candidates typically need strong technical skills, experience with programming languages like C++ and Python, and knowledge of GPU architectures or AI frameworks. The company values innovation, collaboration, and relevant technical certifications or degrees in engineering or computer science.

Is it hard to get hired at NVIDIA?

Getting hired as an engineer at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a solid understanding of areas like GPU architecture, software development, or AI. The hiring process often involves multiple interviews and technical assessments.

What types of projects do Nvidia Engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for software engineers at NVIDIA typically ranges from $100,000 to $150,000. Senior engineers and those with specialized skills in AI, graphics, or hardware may earn higher compensation, often including bonuses and stock options.
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Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $146,868 per year, or $70.6 per hour.
Developer Relations Manager, Cloud Service Provider

Developer Relations Manager, Cloud Service Provider

Nvidia

San Jose, CA • On-site

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

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
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

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