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Nvidia Jobs in California (NOW HIRING)

DDN

NVIDIA Partner Marketing Manager

Sacramento, CA · On-site

This high-impact role owns the end-to-end marketing relationship with NVIDIA, drives joint go-to-market execution, and accelerates DDN's visibility and preference across NVIDIA's sales, solution ...

F5, Inc.

Global Account Director - NVIDIA

San Jose, CA · On-site

Position Overview F5 is seeking a highly driven, entrepreneurial Global Account Director - NVIDIA to own and execute F5's global commercial relationship with NVIDIA. This high-visibility, individual ...

Compass Group

Executive Chef - NVIDIA

Santa Clara, CA · On-site

$100K - $115K/yr

Executive Chef - NVIDIA Salary: $100,000 - $115,000 / year Our Passion is Food! At Bon Appetit Management Company we are committed to two things, great food and outstanding service! At Bon Appetit ...

Compass Group

Executive Chef - NVIDIA

Santa Clara, CA · On-site

$100K - $115K/yr

Executive Chef - NVIDIA Salary: $100,000 - $115,000 / year Our Passion is Food! At Bon Appetit Management Company we are committed to two things, great food and outstanding service! At Bon Appetit ...

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How much do nvidia jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for nvidia in California is $52.44, according to ZipRecruiter salary data. Most workers in this role earn between $41.73 and $65.72 per hour, depending on experience, location, and employer.

How do I get a job with Nvidia?

To get a job with Nvidia, candidates should review current openings on the company's careers page, tailor their resume to highlight relevant skills such as expertise in graphics processing, software development, or AI, and prepare for technical interviews that assess problem-solving abilities. Having a strong background in computer science, engineering, or related fields and experience with tools like CUDA or deep learning frameworks can improve chances of selection.

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 strong programming skills (e.g., C++, Python), a solid foundation in computer science, and typically a degree in a related field. Familiarity with GPU programming, CUDA, parallel computing frameworks, and version control systems like Git is highly valued. Strong problem-solving abilities, teamwork, and effective communication are crucial soft skills in this role. These competencies enable engineers to innovate and deliver high-performance solutions that drive Nvidia's cutting-edge technology.

What can a new employee at Nvidia expect in terms of collaboration and teamwork across different departments?

At Nvidia, collaboration is a central part of the company culture. New employees often work on cross-functional teams that bring together engineers, designers, product managers, and marketing professionals to drive innovation. You can expect regular meetings, brainstorming sessions, and opportunities to learn from experts in various fields. This collaborative environment helps employees quickly build networks within the company and gain exposure to different aspects of Nvidia's business, fostering both professional growth and technical development.

What does Nvidia do as a company?

Nvidia is a technology company known primarily for designing graphics processing units (GPUs) used in gaming, professional visualization, data centers, and automotive markets. Their products power everything from high-end video games to artificial intelligence, machine learning, and self-driving cars. Nvidia also develops system-on-a-chip units for the mobile computing and automotive market, and has expanded into software platforms for AI and deep learning applications.
What cities in California are hiring for Nvidia jobs? Cities in California with the most Nvidia job openings:
Infographic showing various Nvidia job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 94% In-person, and 6% Hybrid job distribution, with an average salary of $109,081 per year, or $52.4 per hour.

Senior Solutions Architect, NVIDIA Cloud Partners - Telco

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 6 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 has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. 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.
NVIDIA is seeking an experienced Solutions Architect to be a trusted technical advisor, bridging design to deployment of large-scale AI / HPC GPU infrastructure. Drive offtake and consumption by integrating libraries, frameworks, models, and software applications. Deliver GenAI, AI, and ML hardware/software to production with the most consequential customers and partners, supporting partners building next-gen GPU platforms. Own end-to-end technology solution integration with strategic customers and offer product strategy recommendations based on feedback. Profiles should be comfortable in a dynamic environment with experience in Deep Learning, LLMs, and GPU technologies. This role is an excellent opportunity to work in an interdisciplinary team at NVIDIA!
What you'll be doing:
  • Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
  • Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
  • Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
  • Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
  • Work closely with customers to build and adopt NVIDIA solutions including PoCs to address critical business needs covering infrastructure, libraries, and applications.
  • Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.
  • Up to 40% travel may be required.

What we need to see:
  • BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
  • 6+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
  • Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures.
  • Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.
  • Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.
  • Motivation and skills to own and drive complex multi-disciplinary technical engagements with customers throughout the full customer lifecycle and cross-functional teams.
  • Efficient time management and capable of balancing multiple tasks. Excellent presentation, communication and collaboration skills.
  • Self-starter with a passion for growth, continuous learning, and sharing insights.

Ways to stand out from the crowd:
  • Practical experience with NVIDIA GPUs, software libraries, frameworks, and foundation models, such as NVIDIA Nemotron, NVIDIA NeMo Framework, NVIDIA Dynamo, NeMo Retriever, NVIDIA Triton Inference Server, TensorRT, TensorRT-LLM, NVIDIA CUDA-X
  • Hands-on expertise with scaled AI cloud environments (e.g., AWS, Azure, GCP) and on-premises / hybrid infrastructure, in particular inference and training workloads.
  • Familiarity with NVIDIA hardware (such as GPUs, networking, storage) and systems technology such as NCCL, DCGM, UFM, Mission Control, Base Command Manager.
  • Proficiency with large-scale AI model training / deployment encompassing GPU systems, performance testing, AI benchmarking, fine tuning, strong focus on MLOps and cluster orchestration (SLURM, K8s, orchestrator, load balancing, cloud architecture).
  • Experience working with enterprise developers and strong customer-facing skills.

#NALASAHiring
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until July 20, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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

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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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