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Nvidia Software Jobs in California (NOW HIRING)

Join NVIDIA as a Solutions Architect to own the evolution of Agentic AI for the enterprise. You will collaborate with top-tier enterprise software companies to build and deploy sophisticated AI ...

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Nvidia Software information

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.

How much does NVIDIA pay 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 graphics programming.

Is it hard to get hired at NVIDIA?

Getting hired at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a good understanding of tools like CUDA or deep learning frameworks. The hiring process often involves multiple interviews and technical assessments.

Does NVIDIA hire software developers?

Yes, NVIDIA hires software developers for roles involving graphics, AI, and high-performance computing. These positions typically require programming skills in languages like C++ and Python, and often involve working with GPU architectures and development tools. Candidates usually need relevant experience and a strong understanding of software engineering principles.

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.

What are the entry-level jobs at NVIDIA?

Entry-level jobs at NVIDIA typically include roles such as Software Engineer I, Hardware Design Engineer, and Technical Program Coordinator. These positions often require a bachelor's degree in computer science, engineering, or related fields, and may involve skills in programming, hardware design, or data analysis. Internships and co-op programs are also common pathways for new graduates to gain experience at NVIDIA.

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 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:
Global Developer Relations Account Manager

Global Developer Relations Account Manager

NVIDIA

Santa Clara, CA • On-site

Full-time

Re-posted 9 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for over 25 years, and they are seeking a Global Account Manager for Developer Relations. In this role, you will lead strategic partnerships in the Manufacturing & Industrial sectors, promoting the integration of NVIDIA's software into partner platforms and driving mutual success with enterprise go-to-market initiatives.
Responsibilities:
• Lead several strategic ISV partnerships in Manufacturing & Industrial sectors, driving adoption of NVIDIA software libraries, open models, and frameworks across business, product, and engineering teams.
• Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack (libraries, models, SDKs, NIMs, and blueprints) into ISV partner products, platforms, and pipelines. Guide partners through onboarding and integration by bringing NVIDIA's DevTech, SA, and Product engineering resources to accelerate adoption and develop co-engineering of next-generation solutions.
• Engage ISV partner technical leaders to drive best-practice integrations and resolve technical challenges, using regular syncs to track adoption, surface new workflows, and channel critical field insights back to NVIDIA product teams.
• Build positive relationships with executive and technical participants across partner organizations — from C-suite sponsors to the developers building production software.
• Promote NVIDIA software within ISV executive leadership, architect, and developer communities, driving early adoption of new tools, libraries, SDKs, NIMs, and blueprints.
• Identify integration opportunities to deliver differentiated solutions and unique value propositions through strategic partners — particularly in AI-enabled process optimization, digital twins, predictive maintenance, and robot orchestration.
• Champion ISV needs and perspectives within NVIDIA, influencing product strategy and go-to-market initiatives.
• Act as NVIDIA's PIC (Pilot in Command) to lead multi-functional teams — including product management, engineering, solutions architects, developer relations, marketing, legal, sales, and ecosystem teams — ensuring partnership success.
• Collaborate with GTM teams to incubate partnerships and deliver early joint wins with ISV partners and their shared end customers in discrete and process manufacturing.
Qualifications:
Required:
• Bachelor’s in engineering, Computer Science, Electrical Engineering, or a related field (or equivalent experience)
• 12+ years of overall professional experience in the technology industry in developer relations, product management, technical partnerships, or solutions architecture, including 5+ years of direct hands-on experience in industrial automation or manufacturing software.
• Deep experience working at or alongside major industrial automation, MES, or manufacturing software vendors (e.g., Rockwell Automation, Siemens, Honeywell, Emerson, PTC, AVEVA, Dassault Systèmes)
• Deep understanding of industrial automation ecosystems — PLCs, SCADA, MES, DCS, OT/IT convergence — and the software stack that runs them.
• Hands-on experience applying AI in manufacturing or industrial automation contexts, including digital twins, computer vision, predictive analytics, or robotics
• Structure and implement technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external partners across sales, legal, product, and marketing teams.
• Outstanding ability to distill sophisticated technical concepts and articulate value propositions to audiences ranging from plant floor engineers to C-suite executives, with end-to-end experience defining, integrating, building, and bringing solutions to market with strategic ISV partners.
Preferred:
• Familiarity with NVIDIA software libraries and platforms (e.g., CUDA-X, NIMs, NeMo, PhysicsNeMo, Omniverse, Cosmos).
• Self-starter with a demeanor for growth and continuous learning.
• Can find creative, out-of-the-box solutions and approaches to sophisticated problems.
• Strong communication and interpersonal skills
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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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