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Nvidia Software Jobs (NOW HIRING)

Nvidia

Senior Solutions Architect, Generative AI

OR · On-site +1

Partnering with NVIDIA's software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback. What we need to see: * BS, ...

Nvidia

OR · On-site

$122.40K - $161.30K/yr

You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What you'll be doing: * Design, build and optimize agentic AI ...

Nvidia

Senior High Performance AI Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What you'll be doing: * Design, build and optimize agentic AI ...

Nvidia

Senior Solutions Architect, Generative AI

OR · On-site +1

Partnering with NVIDIA's software engineering, product, and sales teams to secure design wins and drive the development of innovative solutions based on customer feedback. What we need to see: * BS, ...

Nvidia

OR

Collaborate alongside Enterprise ISVs to integrate NVIDIA software into native platforms, accelerating the deployment of production workloads. * Collaborate with diverse internal teams to improve ...

Nvidia

OR

At NVIDIA, we're tapping into the unlimited potential of AI to define the next era of computing. An ... We are looking for a Senior Software Engineer in Cryptographic Key Management to join us in Santa ...

Nvidia

Senior High Performance AI Engineer

Redmond, WA · On-site

$137.20K - $180.90K/yr

You will collaborate closely with internal NVIDIA software and hardware teams to push the latest developments into NVIDIA products. What you'll be doing: * Design, build and optimize agentic AI ...

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Nvidia Software information

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$48K

$111.8K

$166K

How much do nvidia software jobs pay per year?

As of May 30, 2026, the average yearly pay for nvidia software in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Nvidia Software Engineer, and why are they important?

To thrive as an Nvidia Software Engineer, you need proficiency in programming languages like C++ and Python, strong knowledge of computer architecture, and often a degree in computer science or a related field. Familiarity with parallel computing platforms such as CUDA, GPU development tools, and version control systems like Git is typically required. Problem-solving abilities, collaboration, and effective communication are crucial soft skills for success in this role. These competencies enable engineers to efficiently develop high-performance software and contribute to innovative graphics and AI solutions.

What are some common challenges faced by software engineers working at Nvidia, and how can they be addressed?

Software engineers at Nvidia often work on cutting-edge technologies in fields like graphics, AI, and high-performance computing, which can present unique challenges such as rapidly evolving technical requirements and complex problem-solving scenarios. Collaborating across multidisciplinary teams—often globally distributed—requires strong communication and adaptability. To succeed, it's important to proactively seek feedback, stay updated on emerging trends, and leverage Nvidia’s internal learning resources. Embracing a collaborative mindset and being open to continuous learning can help engineers navigate these challenges effectively.

What are Nvidia Software engineers?

Nvidia Software engineers are professionals who design, develop, and optimize software solutions for Nvidia's products, such as GPUs, AI platforms, and related technologies. They work on a variety of projects, including graphics drivers, deep learning frameworks, and high-performance computing applications. Their role involves collaborating with hardware engineers, improving system performance, and ensuring seamless integration with Nvidia hardware. Nvidia Software engineers are essential in advancing the capabilities of graphics and AI technology.

What is the difference between Nvidia Software vs Nvidia Hardware Engineer?

AspectNvidia SoftwareNvidia Hardware Engineer
Required CredentialsBachelor's in Computer Science, Software Development experienceBachelor's in Electrical Engineering or Computer Engineering, hardware design experience
Work EnvironmentSoftware development teams, R&D labs, collaborative projectsHardware labs, prototyping, testing environments
Industry UsageDeveloping drivers, AI software, GPU programmingDesigning GPU chips, circuit boards, hardware components
Common Search/ComparisonYesNo

In summary, Nvidia Software professionals focus on developing and maintaining software solutions like drivers and AI applications, requiring programming skills and software credentials. Nvidia Hardware Engineers work on designing and testing physical GPU components, requiring engineering expertise. Both roles are vital in the tech industry but differ in their focus and skill sets.

More about Nvidia Software jobs
What cities are hiring for Nvidia Software jobs? Cities with the most Nvidia Software job openings:
What states have the most Nvidia Software jobs? States with the most job openings for Nvidia Software jobs include:
What job categories do people searching Nvidia Software jobs look for? The top searched job categories for Nvidia Software jobs are:
Nvidia Software jobs near you
Infographic showing various Nvidia Software job openings in the United States as of May 2026, with employment types broken down into 87% Full Time, 9% Part Time, and 4% Contract. Highlights an 96% Physical, and 4% Hybrid job distribution, with an average salary of $111,845 per year, or $53.8 per hour.
Developer Relations Manager, Cloud Service Provider

Developer Relations Manager, Cloud Service Provider

Nvidia

San Jose, CA

Full-time

Posted 5 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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