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Nvidia Ai Jobs (NOW HIRING)

Nvidia

OR · On-site

You will help researchers adopt NVIDIA's AI and accelerated computing platforms to push the boundaries of model performance, efficiency, and scale. The ideal candidate brings deep technical ...

Nvidia

NCX Engineer, AI Accelerator

Santa Clara, CA

NVIDIA is seeking an NCX Engineer, AI Accelerator to join our AI Accelerator team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads! You will ...

Nvidia

NCX Engineer, AI Accelerator

Seattle, WA

NVIDIA is seeking an NCX Engineer, AI Accelerator to join our AI Accelerator team, collaborating closely with strategic customers to implement and enhance groundbreaking AI workloads! You will ...

Nvidia

OR

In this role, you will act as a trusted technical advisor and hands-on creator for NVIDIA's most sophisticated AI partners. You will lead groundbreaking prototyping and proof-of-concept ...

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How much do nvidia ai jobs pay per hour?

As of Jun 15, 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.
Solutions Architect, AI Models

Solutions Architect, AI Models

Nvidia Corporation

Santa Clara, CA • On-site

$74 - $97.50/hr

Full-time

Posted 12 days ago

Job description

Do you want to be part of the team that brings innovative Artificial Intelligence (AI) from research to reality? We are looking for a Solutions Architect to join the AI Software Segment SA team. We specialize in the newest technology and advances in deep learning, Generative AI, and Cloud. The vision of the AI SW Segment team is to use our deep expertise, at the intersection of research and engineering, to guide and enable the successful adoption of NVIDIA AI software in the enterprise!
If you are passionate about AI and how it can be applied to address real-world problems, we should talk. 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 Solution Architecture team, you will work closely with customers and partners to solve hard problems in customizing and deploying AI workloads at scale.
What you'll be doing:
  • A huge part of our work involves developing end-to-end AI solutions for enterprise use cases. We help customers adopt NVIDIA AI models and libraries by offering deep technical expertise.
  • Tackle sophisticated AI challenges by applying skills across the AI model lifecycle-from data processing and orchestration to training, post-training, reinforcement learning (RL), evaluation, and model optimization.
  • Support a broad model portfolio spanning LLMs, multimodal, retrieval, speech, content safety, and edge use cases.
  • Partner with enterprise customers in co-design engagements - understanding their data, evaluation criteria, and success metrics to deliver customized AI solutions.
  • As we work with customers across multiple industries, we help improve NVIDIA products and build creative solutions to overcome scaling challenges at the intersection of computer architecture, models, libraries, and AI applications.
  • Contribute to the wider organization and community by sharing your expert knowledge. This can vary from contributing to open-source projects and product engineering to publishing findings and delivering hands-on training.

Above all, you will be part of the team that helps bring NVIDIA technology to life in the Enterprise! We empower you and give you the tools to achieve this with the backing of all of NVIDIA, including other Solution Architects, Product, Engineering and Research teams. You'll get to be the face and trusted expert advisor that our customers and partners rely on.
What we need to see:
  • Strong foundational expertise, from a BS, MS, or Ph.D. degree in Engineering, Mathematics, Physics, Computer Science, Data Science, or similar (or equivalent experience).
  • 5+ years of experience with AI frameworks such as PyTorch, JAX, or TensorFlow, and libraries like Hugging Face Transformers.
  • Proficiency in Python programming, software design, debugging, and performance analysis, with at least 5+ years of experience in a Linux environment.
  • Hands-on experience with AI model lifecycle, including evaluation, failure analysis, pre-training, post-training, RL, and model optimization.
  • Expertise in distributed computing methodologies, including model and data parallelism.
  • Experience with distributed computing tools, like SLURM and Kubernetes, for training and evaluating large models on GPUs.
  • Ability to learn fast and quickly adapt to change.
  • Clear written and oral communications skills with the ability to effectively collaborate with executives and engineering teams.

Ways to stand out from the crowd:
  • Experience with and/or contributions to open-source NVIDIA AI libraries and models, particularly Nemotron, NeMo, NeMo Framework, NeMo-RL.
  • Hands-on experience with data curation and analysis for model post-training and RL.
  • Prior experience with AI model training techniques applied to multi-modal data (audio, image, and video).
  • Knowledge of NVIDIA GPU/CPU architecture and its impact on software performance.
  • Show willingness and ability to dig into unfamiliar territories to solve complex problems relying on experience from previous work.

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.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until April 25, 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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