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Nvidia Engineering Jobs in California (NOW HIRING)

Nvidia

Solutions Architect, OEM AI

Santa Clara, CA

$74 - $97.50/hr

Function as a technical lead and liaison between NVIDIA engineering, product teams, and OEM partners to drive innovative technical and business strategies. * Guide the development of Agentic AI ...

Nvidia

Senior Debugger Software Engineer

Santa Clara, CA · On-site

$143K - $189K/yr

Masters or PhD in Computer Science, Mathematics, or related engineering fields. NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most ...

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 Jun 27, 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 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.
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:
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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
Director, Retail and CPG Platform Architecture

Director, Retail and CPG Platform Architecture

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 28 days ago

Job description

NVIDIA is the Accelerating Computing Platform and infrastructure leading the AI revolution. Are you excited to compose the future of AI and join a team that is redefining computing? NVIDIA is advancing AI through our accelerated computing and infrastructure platform. We are looking for a dynamic, hands-on Director to define and build the Retail & CPG Industries product platform in Santa Clara, CA. This role presents a rare opportunity to demonstrate NVIDIA's powerful technology to develop a platform that will reshape digital commerce, supply chains, and intelligent stores. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
We're looking for a technical architecture expert with hands-on development experience to define the architecture of the Retail and Consumer Packaged Goods Platform and collaborate with engineering to build the platform. This is a technical engineering role and requires familiarity with NVIDIA's GPU acceleration libraries, experience in Retail, CPG, logistics, or marketplaces, and knowledge of enterprise AI architectures will make you an ideal candidate. Join us and take the lead in building the retail platform and help us develop the future of AI in retail! Your mission is to leverage NVIDIA's existing retail and supply chain blueprints, along with proven workflows and best practices codified through customers and ISV engagements, to define the architecture and build the Retail & CPG platform.
You will be responsible for architecting and collaborating with engineering teams across NVIDIA, to build the platform. Built on NVIDIA's full stack-including Agentic AI, Physical AI, and accelerated computing-this platform will power our three strategic pillars: digital commerce, supply chain, and intelligent stores.
What you'll be doing:
You will work with Retail & CPG product management, business development, and developer relations teams to harness deep expertise in supply chain and retail, to architect and build a platform that makes it easier for our ecosystem and customers to build AI solutions at scale. The platform will use our NVIDIA Nemo microservices and Nemotron open-source models, with initial priority on Agentic AI for supply chain, digital commerce and employee productivity. Critical to this role is developer experience building AI agents and will collaborate with a strong technical retail and supply chain team, as well as horizontal engineering team(s).
Define product, technical vision, and architecture:
  • Develop platform strategy across supply chain, stores, and e-commerce
  • Architect and build systems hands-on, using existing Retail and Agentic Commerce, and supply chain blueprints, as well as other key components of NVIDIA platform for hyper-personalization, new formulation discovery with NVIDIA ALCHEMI and CuOpt supply chain optimization solvers.
  • Build a reusable reference architectures for industry adoption. Define the product, technical vision, and architecture for the Retail & CPG platform using NVIDIA's existing blueprints and workflows.
  • Use NVIDIA technologies like NeMo, NIM, RAPIDS, and cuOpt to write the code and create the platform with help from solution engineers on the team, and resources secured from engineering.
  • Deliver a production-ready platform together with NVIDIA engineering, focusing on latency, throughput, and cost efficiency.
  • Ensure system reliability through monitoring, evaluation, and fallback strategies.
  • Work together with Solution engineers and developer relations engineers to present the platform to ISVs, GSIs, and customers.
  • Contribute to technical thought leadership and engage with the industry.

What we need to see:
  • 15+ years of dynamic work experience within high growth tech companies or building AI and agentic solutions for a major retailer.
  • 7+ years of team management experience.
  • Builder mentality with proven track record to write code and ship systems. Having experience as a developer of AI agents is a must.
  • Developer expertise in AI systems, including experience with LLMs, RAG, and agent-based systems.
  • Strong understanding of data pipelines, embeddings, and systems architecture.
  • Experience with distributed systems, APIs, and microservices.
  • Shown success in lean, high-velocity environments, collaborating with engineering.
  • Bachelor's degree in computer science or electrical engineering (or equivalent experience). A master's degree in computer science is highly desirable.

Ways to stand out from the crowd:
  • Familiarity with GPU acceleration libraries(CUDA, Triton, TensorRT).
  • Background in Retail, CPG, logistics, or marketplaces is a plus, but not required.
  • Experience working with enterprise AI architectures.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking 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 272,000 USD - 425,500 USD for Level 5, and 340,000 USD - 517,500 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 22, 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.
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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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