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Nvidia Software Jobs in California (NOW HIRING)

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Nvidia Software information

What is an Nvidia software engineer?

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 skills and qualifications are needed to thrive as an Nvidia software engineer?

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.

What are 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 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 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 August 2026, with employment types broken down into 1% As Needed, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Global Account Manager, Developer Relations - Meta

Santa Clara, CA

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

Full-time

Re-posted 12 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

As a Global Account Manager, Developer Relations, you'll be responsible for the technical charter for expanding integration of NVIDIA's libraries and frameworks across one of our largest and most strategic partners. You will work with teams across NVIDIA and Meta to drive the integration of NVIDIA's libraries and frameworks into Meta's platforms, aligning with their long-term business and technical goals. This highly visible position works with our product and engineering organization to deliver joint solutions that move the needle, and extends that impact through the technologies and projects the partner stewards.

The ideal candidate brings an outstanding blend of Meta ecosystem and large-scale AI infrastructure proficiency, a deep passion for developer advocacy, and strong technical account management experience.

What you'll be doing:

  • Drive adoption of NVIDIA software libraries and frameworks across business, product, engineering, and research teams

  • Work closely with the NVIDIA account, developer relations, solutions architecture, and developer technology teams on product and engineering integration priorities and coordination

  • Accelerate critical workloads by demonstrating and integrating the NVIDIA software stack into partner products, platforms, and pipelines. Guide and support the partner in integration by bringing NVIDIA's developer technology, engineering, solutions architecture and product resources to accelerate adoption and foster co-engineering of next-generation solutions

  • Engage 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 strong relationships with executive and technical collaborators across partner organizations - from C-suite sponsors to the developers building production software

  • Advocate for NVIDIA software within partner's executive leadership, architect, research and developer communities, driving early adoption of new tools, libraries, frameworks, and SDKs

  • Identify integration opportunities to deliver differentiated solutions and unique value propositions - particularly in inference optimization, model training, recommender systems, kernel-level performance, and data processing

  • Champion partner's needs and perspectives within NVIDIA, influencing product strategy and roadmap

  • Act as NVIDIA's PIC (Pilot in Command) to lead cross-functional teams - including product management, engineering, solutions architects, developer relations, marketing, legal, sales, and ecosystem teams - ensuring partnership success

  • Grow adoption of NVIDIA libraries and frameworks upstream in the open-source projects the partner maintains and contributes to, and support downstream adoption across the ecosystem

What we need to see:

  • Bachelor's degree in Computer Science, Engineering, Electrical Engineering, or a related field, or a Master's degree or equivalent experience

  • 12+ years of overall professional experience in the technology industry in developer relations, product management, technical partnerships, business development, solutions architecture, or systems and performance engineering, including 3+ years of direct hands-on experience in inference serving and efficiency improvements, machine learning model development, recommendation algorithms and ranking at scale, GPU kernel development, AI/ML software development, or data processing

  • Deep understanding of large-scale AI infrastructure - frontier model training and inference platforms, recommender and ranking systems, data processing platforms - and the software stack that runs them

  • Technical depth sufficient to engage partner research and performance engineering teams as a peer - able to reason about model architecture, kernel and attention implementations, distributed training and inference, and performance tradeoffs

  • Consistent record to structure and drive progress of complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal and external stakeholders across sales, legal, product, and marketing teams

  • Exceptional ability to distill complex technical concepts and articulate value propositions to audiences ranging from developers to C-suite executives, with end-to-end experience defining, integrating, building, and bringing solutions to market with strategic partners or open-source communities

  • Experience influencing partner product roadmaps

Ways to stand out from the crowd:

  • MBA or MS or PhD in computer science, electrical engineering or similar field

  • Familiarity with NVIDIA software libraries and platforms (e.g., CUDA-X, CUTLASS, CuTeDSL, cuEmbed, cuVS, cuDF, cuEquivariance, NCCL, NVSHMEM, NIXL, NVTrust, NVAttestation, TRT-LLM)

  • Contributor or maintainer standing in the open -source projects partners run in production - PyTorch, OpenAI Triton, vLLM, SGLang, Faiss, Presto/Velox

  • Experience engaging AI research organizations - publications, upstream contributions, or co-authored performance work

  • Deep experience working at or alongside Meta

With attractive compensation and a generous benefits package, we are widely considered to be one of the world's most desirable employers!We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, 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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 7, 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.

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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