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Nvidia Ai Jobs (NOW HIRING)

OR · On-site

$63 - $83/hr

We are looking for Solution Architects to join the NVIDIA AI Enterprise (NVAIE) SA Segment Team to help redefine how enterprises build and deploy AI agents. We specialize in the newest technology and ...

OR · On-site

$63 - $83/hr

NVIDIA is the world leader in GPU accelerated computing and AI and is looking for developers like you to design and build enterprise AI solutions using our newest technology. As a member of the ...

We are looking for Solution Architects to join the NVIDIA AI Enterprise (NVAIE) SA Segment Team to help redefine how enterprises build and deploy AI agents. We specialize in the newest technology and ...

NVIDIA is the world leader in GPU accelerated computing and AI and is looking for developers like you to design and build enterprise AI solutions using our newest technology. As a member of the ...

NVIDIA AI has been transforming computer graphics and accelerated computing for over 25 years, focusing on the potential of AI to revolutionize computing. The Senior AI Solutions Architect will be ...

Solutions Architect, AI Models

Santa Clara, CA · On-site

$74 - $97.50/hr

NVIDIA is the world leader in GPU accelerated computing and AI, seeking a Solutions Architect to join their AI Software Segment SA team. The role involves developing end-to-end AI solutions for ...

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Nvidia Ai information

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How much do nvidia ai jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for nvidia ai in the United States is $53.14, according to ZipRecruiter salary data. Most workers in this role earn between $42.31 and $66.59 per hour, depending on experience, location, and employer.

What is the difference between Nvidia Ai vs Nvidia Data Scientist?

AspectNvidia AiNvidia Data Scientist
Required CredentialsDegree in Computer Science, AI, or related fields; experience with AI frameworksDegree in Data Science, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, AI development teams, tech companiesData analysis teams, research departments, tech firms
Employer & Industry UsageTech companies focusing on AI products, hardware, and softwareOrganizations analyzing large datasets, developing predictive models

While Nvidia Ai specialists focus on developing and implementing AI algorithms and hardware solutions, Nvidia Data Scientists analyze data to extract insights and build predictive models. Both roles often collaborate but serve different core functions within AI and data analysis projects.

Is it difficult to get hired at NVIDIA?

Getting hired at NVIDIA for roles like AI engineer or researcher can be competitive, often requiring strong technical skills in machine learning, deep learning, and programming languages such as Python or C++. Candidates typically need relevant experience, a solid educational background, and may go through multiple interview stages including technical assessments. The hiring process varies by position but generally emphasizes technical proficiency and problem-solving ability.

What are the key skills and qualifications needed to thrive as an AI Engineer at Nvidia, and why are they important?

To thrive as an AI Engineer at Nvidia, you need strong knowledge in computer science, machine learning, deep learning, and programming languages such as Python and C++, typically supported by a relevant degree. Experience with AI frameworks (like TensorFlow or PyTorch), GPU computing (CUDA), and familiarity with cloud platforms or Nvidia’s own software tools is highly valued. Problem-solving ability, collaboration, and effective communication are crucial soft skills in this role. These competencies enable engineers to develop cutting-edge AI solutions, work efficiently in multidisciplinary teams, and drive innovation in a rapidly evolving field.

Which 5 jobs will survive AI?

Jobs that require complex problem-solving, creativity, emotional intelligence, and human interaction are more likely to survive AI automation. Roles such as software developers, healthcare professionals, data scientists, educators, and skilled tradespeople are expected to remain in demand due to their reliance on specialized knowledge and interpersonal skills. Continuous learning and adapting to new tools like AI and machine learning are essential for these roles.

What are the top 10 AI jobs?

Top AI jobs include AI Engineer, Machine Learning Engineer, Data Scientist, Deep Learning Engineer, Computer Vision Engineer, NLP Engineer, Robotics Engineer, AI Research Scientist, Data Analyst, and AI Product Manager. These roles typically require skills in programming, machine learning frameworks, and data analysis, with many positions demanding a strong background in mathematics and experience with tools like Python, TensorFlow, or PyTorch.

What is the salary of AI Engineer in NVIDIA?

The average salary for an AI Engineer at NVIDIA ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. NVIDIA values expertise in deep learning, GPU programming, and machine learning frameworks, which can influence compensation. Entry-level positions may start lower, while senior roles can exceed this range.

What is Nvidia AI?

Nvidia AI refers to the suite of artificial intelligence technologies, hardware, and software developed by Nvidia. It includes powerful GPUs, AI frameworks, and platforms like Nvidia CUDA, TensorRT, and the Nvidia AI Enterprise suite, which are used to train and deploy machine learning and deep learning models. Nvidia AI solutions are widely adopted in fields such as autonomous vehicles, healthcare, robotics, and data centers because of their speed and efficiency in processing complex AI workloads.

What types of projects do professionals working in Nvidia AI typically collaborate on, and how cross-functional is the work environment?

Professionals in Nvidia AI often work on projects involving deep learning, computer vision, autonomous systems, and high-performance computing. The environment is highly cross-functional, requiring collaboration with software engineers, research scientists, product managers, and hardware teams. This structure encourages knowledge sharing and innovation, as team members contribute expertise from diverse technical backgrounds. Such collaboration supports rapid prototyping and deployment of advanced AI solutions for industries like automotive, healthcare, and gaming.
Infographic showing various Nvidia Ai job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $110,528 per year, or $53.1 per hour.
Senior Director, NVIDIA AI Inference Sales

Senior Director, NVIDIA AI Inference Sales

Nvidia

Santa Clara, CA

Full-time

Posted 16 days ago


Job description

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. As an NVIDIAN, you'll be immersed in a diverse, encouraging 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 are looking for a Senior leader to orchestrate embedded NVIDIA AI software Go-To-Market strategy and co-sales with our partners. As Enterprise adoption of Agentic AI is rising, we are seeing a tremendous increase in our partners plans to embed NVIDIA AI software and Acceleration libraries in their products. For this highly sought after role, we need a high-reaching leader to work closely with our partners to drive partner sales, NVIDIA sales, and customer engagements! The goal is to increase adoption and use of the NVIDIA platform, including hardware and software. "Embed and Scale" is our key GTM strategy and therefore sales motion. This person will also drive enablement materials, sizing guides, train partners and field and drive industry feedback to the product teams.

What you'll be doing:

  • Go-to-Market & Scale: Collaborate multi-functionally with Product Management, Product Marketing, Developer Relationship Managers and Solution Architects to Define and Implement a leadership Inference go-to-market strategy!

  • Strategic Ecosystem Engagement: Identify, engage, and lead strategic relationships with Independent Software Vendors (ISVs), Inference Service Providers, OEMs, and Global system integrators to accelerate the design-in and integration of AI technologies developed by NVIDIA with partner platforms.

  • Enablement & Content Creation: Develop and deliver high-impact technical enablement materials across NVIDIA sales and the partner ecosystem.

  • Roadmap Influence & Feedback Loop: Collect, analyze, and communicate the technical requirements and challenges of ISVs, OEMs and partners back to NVIDIA's internal product teams to directly influence the roadmaps.

  • Lead weekly pipeline and revenue growth calls centered on NVIDIA AI software with our worldwide segment sales teams.

  • Assist with the enterprise Light House Accounts (LHAs) process for NVIDIA AI software globally. Partner with the NVIDIA Industry Business Development (IBD) and regional sales teams.

What we need to see:

  • Bachelor's degree or equivalent experience

  • 18+ overall years of sales and/or business development experience

  • 7+ years of proven experience in leading a business development team.

  • AI Software sales experience in cloud and on-prem environments

  • Deep understanding of software development lifecycle, developer enablement, software integration, commercialization

  • Proven history of integrating software and developing solutions with ISVs. Demonstrated ability to provide thought leadership, think strategically, and effectively communicate vision

  • Comparative understanding of cloud, on-premises, and hybrid cloud environments

  • Excellent verbal and written communication skills

  • Ability to efficiently get things done with a distributed team

Ways to stand out from the crowd:

  • Understanding of AI and data science workflows, including NVIDIA AI SDK and Frameworks (NeMo, Riva, NIMs, Triton, RAPIDS, Omniverse, CUDA-X Libraries)

  • Previous role driving AI adoption at an ISV, selling open source software (OSS), or building joint GTM plays with hyperscalers.

  • Background in enterprise SaaS sales, consulting, or technical pre-sales with an AI/ML focus.

  • Passion for transforming enterprise workflows through AI.

  • Consistent record of delivering joint revenue growth through ISV partnerships.

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 cash compensation will be determined based on your location, experience and the pay of employees in similar positions with 85% paid through base salary and 15% variable compensation. The cash compensation range is 332,000 USD - 500,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 2, 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.#deeplearning

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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