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Nvidia Software Jobs in California (NOW HIRING)

You will be responsible for embedding NVIDIA software into customer architectures and workflows, you will play a direct role in improving application performance, increasing developer productivity ...

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Nvidia Software information

See California salary details

$47.4K

$110.4K

$163.8K

How much do nvidia software jobs pay per year?

As of Jun 13, 2026, the average yearly pay for nvidia software in California is $110,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $128,300.00 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.

Is it hard to get hired at NVIDIA?

Getting hired at NVIDIA for software roles can be competitive, often requiring strong technical skills in programming, algorithms, and relevant experience. Candidates typically go through multiple interview rounds that assess technical knowledge, problem-solving ability, and cultural fit. Having a solid portfolio, relevant certifications, and familiarity with tools like CUDA can improve chances of success.

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 NVIDIA's starting salary?

The starting salary for roles at NVIDIA varies depending on the position, location, and candidate experience. Entry-level software engineering roles typically begin around $80,000 to $100,000 annually, with additional benefits and stock options often included. Salaries may increase with skills in programming, GPU architecture, and relevant certifications.

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.

Do NVIDIA pay well?

NVIDIA software engineering and related roles are generally well-compensated, with salaries often above industry averages for tech companies. Compensation packages typically include base salary, bonuses, and stock options, reflecting the company's strong market position and demand for skilled professionals in areas like GPU development and AI software. Factors such as experience, location, and skill level influence individual pay.

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.

How much does NVIDIA pay their software engineers?

NVIDIA software engineers typically earn an average salary ranging from $100,000 to $150,000 annually, depending on experience, location, and specific role. Compensation may also include bonuses, stock options, and benefits, with higher salaries often available for senior or specialized positions involving skills in CUDA, AI, or machine learning.
What job categories do people searching Nvidia Software jobs in California look for? The top searched job categories for Nvidia Software jobs in California are:
What cities in California are hiring for Nvidia Software jobs? Cities in California with the most Nvidia Software job openings:
Infographic showing various Nvidia Software job openings in California as of June 2026, with employment types broken down into 3% As Needed, 9% Full Time, 85% Part Time, and 3% Nights. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $110,380 per year, or $53.1 per hour.
Senior Solutions Architect, Generative AI

Senior Solutions Architect, Generative AI

Nvidia

Santa Clara, CA • On-site, Remote

Full-time

Posted 9 days ago


Job description

NVIDIA is looking for an AI Solutions Architect with hands-on experience in efficient AI model training and/or deployment for a customer facing role. Primary responsibilities will be to help accelerate customer workloads and lead customer technical engagements around NVIDIA software and technologies. We work with the world's most successful technology companies, and this role uniquely positions you to observe emerging industry trends at the cutting edge. Join us in this exciting endeavor!

What you'll be doing:

  • Collaborating closely with customers to improve their workload performance and reduce infrastructure costs.

  • Leading and developing proof-of-concepts for AI solutions applied to the Consumer Internet industry, including areas like LLMs and recommenders, and building collateral (notebook/code) as needed.

  • Developing and debugging software for NVIDIA and open-source AI frameworks and libraries.

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

  • 8+ years of experience as an AI/Software Engineer with proven track record coding in Python and/or C++ with popular AI software libraries and GPUs.

  • Experience with profiling and optimizing model training/inference performance on GPUs.

  • Experience developing and optimizing GPU kernels for deep learning, with a focus on GEMM and attention kernels.

  • Strong communication skills, with the ability to clearly convey ideas and code through GitHub, documentation, and presentations.

  • A great teammate who enjoys collaborating with cross-functional teams including Engineering, Research, Sales, Product, and Marketing.

  • Self-starter with a passion for growth, continuous learning, and sharing insights with the team.

Ways to stand out from the crowd:

  • Full stack experience from DL framework level (such as PyTorch/JAX) to lower level (such as CUDA/CUTLASS/cuDNN/NCCL).

  • Experience working with enterprise developers and strong customer-facing skills.

  • Familiarity with MLOps technologies such as containers, Kubernetes, and data center deployments.

  • Experience with large-scale production data pipelines and AI model training/deployment.

  • Creative problem-solving skills for debugging and resolving complex issues.

We make extensive use of conferencing tools, but occasional travel is required for local on-site visits to customers and conferences. We are open to remote work. We look forward to having you join our team!

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 184,000 USD - 287,500 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.

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