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Nvidia Engineering Jobs in California (NOW HIRING)

Nvidia

Senior Developer Technology Engineer

Santa Clara, CA · Hybrid

$64 - $84.50/hr

... Engineering team is a global network of world-class experts revolutionizing industries through accelerated computing. We empower developers with groundbreaking solutions that solidify NVIDIA ...

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Nvidia Engineering information

See California salary details

$45.9K

$144.9K

$171.7K

How much do nvidia engineering jobs pay per year?

As of Aug 10, 2026, the average yearly pay for nvidia engineering in California is $144,945.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $170,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Nvidia engineer, 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 engineer?

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.

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.

What are the most commonly searched types of Nvidia Engineering jobs in California? The most popular types of Nvidia Engineering jobs in California are:
What are popular job titles related to Nvidia Engineering jobs in California? For Nvidia Engineering jobs in California, the most frequently searched job titles are:
What job categories do people searching Nvidia Engineering jobs in California look for? The top searched job categories for Nvidia Engineering jobs in California are:
What cities in California are hiring for Nvidia Engineering jobs? Cities in California with the most Nvidia Engineering job openings:
Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in California as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $144,945 per year, or $69.7 per hour.

Manager, Solution Engineering for NVIDIA Experience

Nvidia

Santa Clara, CA

Full-time

Re-posted 10 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA is looking for an experienced manager to lead a solution engineering team focused on customer support of NVIDIA software products such as AI Enterprise, Omniverse and vGPU! Your team will apply the latest AI technologies to triage customer issues, identify solutions, and keep customers delighted. You must have excellent problem-solving abilities and communication skills and be able to lead multiple projects and tasks. This position is for a manager who will work with their team on creative solutions to improve situations and processes, lead teams and manage projects. AI is not optional here. It is foundational, applied thoughtfully for all solution engineering workflows including solving customer cases and developing software, both products and internal tools.

What you'll be doing:

  • Provide direct support to our NVIDIA Enterprise customers to resolve or advance customer issues.

  • Work with engineering teams on customer issues, providing logs, reproduction, and other triage information.

  • Apply AI to create/update product and/or support tools.

  • Take ownership and drive customer issues from inception to resolution.

  • Document customer interactions to better enhance our knowledge base.

  • Participate in the creation, maintenance, and versioning of documentation related to enterprise support processes, procedures, and associated guidelines.

  • Apply agentic AI skills to create new standard processes, find ways to improve how the team works together and with other teams, lead teams and projects.

  • Mentor new engineers and interns. Nurture employees, so they can do their life's work.

What we need to see:

  • Minimum of a BS in Computer Science, Electrical Engineering, or equivalent experience.

  • At least 5 overall years of software engineering experience.

  • At least 2+ years of management experience.

  • Excellent leadership skills.

  • AI/ML expertise.

  • Professional-level communication skills, including the ability to adjust communication to the technical level of the audience, and stay calm and focused in negative situations.

  • Excellent follow-up and organizational skills, with a passion or love for solving problems.

Ways to stand out from the crowd:

  • Software engineering management experience

  • Customer support management experience

  • Technical expertise in technologies related to NVIDIA AI Enterprise, Omniverse, vGPU

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD for Level 3, and 248,000 USD - 391,000 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 5, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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