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Nvidia Data Scientist Jobs in Renton, WA (NOW HIRING)

Nvidia

Senior Account Manager - CSP

Seattle, WA · On-site

Understanding of data science, AI, Gen AI, and accelerated compute and the associated data pipeline ... NVIDIA is widely considered one of the world's most desirable employers. We attract some of the ...

Nvidia

NCX Senior Engineer

Seattle, WA

$118K - $163K/yr

... NVIDIA platform guidelines. * Deploy and manage AI workloads across DGX Cloud, NCP data centers ... D. in Computer Science, Computer/Electrical Engineering, or a related technical field, or ...

Nvidia

Senior System Software Engineer

Redmond, WA · On-site

$137K - $180K/yr

Apache Spark is the most popular data processing engine in data centers. At NVIDIA, we are ... science or a related field (or equivalent experience) * Proficiency in C++, Java, Scala

Nvidia

Senior Solutions Architect

Seattle, WA · On-site

NVIDIA is looking for an experienced network infrastructure Solutions Architect. Do you want to be ... Practical knowledge of sophisticated networking for AI data centers, including InfiniBand and ...

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All JobsNvidia Data Scientist JobsNvidia Data Scientist Jobs in Renton, WA

Nvidia Data Scientist information

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$51.7K

$185.6K

$273.9K

How much do nvidia data scientist jobs pay per year?

As of Aug 14, 2026, the average yearly pay for nvidia data scientist in Renton, WA is $185,616.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,200.00 and $191,200.00 per year, depending on experience, location, and employer.

Is a Nvidia Data Scientist job still in demand?

Nvidia Data Scientist roles remain in high demand due to the company's focus on AI, machine learning, and deep learning technologies. These positions often require expertise in programming, data analysis, and familiarity with Nvidia's tools like CUDA and GPU computing, making them valuable in industries such as technology, automotive, and healthcare.

What is a Nvidia data scientist?

A Nvidia Data Scientist leverages AI, machine learning, and deep learning to develop models and algorithms that optimize GPU-accelerated computing solutions. They work with large datasets, conduct research, and build scalable data-driven solutions for industries like gaming, autonomous vehicles, and healthcare. Their role involves collaborating with engineers and researchers to improve AI frameworks and performance on Nvidia hardware. Proficiency in Python, deep learning frameworks (TensorFlow, PyTorch), and data analytics is essential.

What are the key skills and qualifications needed to thrive as a Nvidia data scientist, and why are they important?

To thrive as an Nvidia Data Scientist, you need a solid background in statistics, machine learning, computer science, and typically a graduate degree in a related field. Proficiency with Python, deep learning frameworks (such as TensorFlow or PyTorch), GPU computing, and experience with large-scale data systems are highly valued, along with relevant certifications. Analytical thinking, strong problem-solving abilities, and clear communication are soft skills that set candidates apart in this collaborative, fast-evolving field. These capabilities are essential for driving innovation, building robust AI solutions, and contributing effectively to cross-functional teams at Nvidia.

What types of projects does a Nvidia data scientist typically work on, and how do they contribute to the company's core technologies?

Nvidia Data Scientists are often involved in pioneering projects related to AI model development, computer vision, natural language processing, and deep learning applications optimized for GPU hardware. They collaborate closely with research engineers, software developers, and product teams to create scalable AI solutions that enhance Nvidia’s products, ranging from gaming to autonomous systems. A typical week might involve experimenting with new algorithms, analyzing large datasets, optimizing code for GPU acceleration, and translating research breakthroughs into practical applications. This role offers continuous learning opportunities and plays a direct part in shaping industry-leading technologies.

What are popular job titles related to Nvidia Data Scientist jobs in Renton, WA?

For Nvidia Data Scientist jobs in Renton, WA, the most frequently searched job titles are:

What job categories do people searching Nvidia Data Scientist jobs in Renton, WA look for?

The top searched job categories for Nvidia Data Scientist jobs in Renton, WA are:

What cities near Renton, WA are hiring for Nvidia Data Scientist jobs?

Cities near Renton, WA with the most Nvidia Data Scientist job openings:

Nvidia Data Scientist jobs near you
Infographic showing various Nvidia Data Scientist job openings in Renton, WA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $185,616 per year, or $89.2 per hour.

Senior Account Manager, CSP - Networking Business

Nvidia

Redmond, WA

Full-time

Posted 11 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

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, 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 are looking for a high-energy and strategic technology sales Senior Account Manager to manage and grow our Networking business with Oracle. Do you want to be part of a team that brings new Artificial Intelligence (AI) hardware and software technologies to production in customer data centers? As part of the NVIDIA CSP organization, you will be driving development of Oracle Products and Solutions based on our end-to-end technology solutions integration at some of NVIDIA's most strategic technology customers!

What you will be doing:

  • Identify new opportunities for NVIDIA products and solutions with Oracle for deployment in the cloud and in their customer data centers.

  • Work closely with the GPU/Network Systems Engineering, Product Management and Solutions Architects to qualify our solutions for deployment

  • Act as voice of the customer - providing feedback on where our products are meeting, exceeding and falling short of Oracle and their customer's needs.

  • Driving the forecasting, NPI and fix for our networking product portfolio.

  • Go beyond our product specifications to share how each of our solutions fit into their product portfolio and the associated business opportunity for them

  • Ability to travel as needed.

What we need to see:

  • BA degree or equivalent experience.

  • 12+ years' experience selling enterprise technology solutions to senior leaders and developers within the healthcare ecosystem.

  • Passion for the customer and a sense of ownership for the projects you are leading.

  • Successful track record of successfully growing revenue for new innovative technology-based solutions.

  • Experience launching and supporting networking products deployed in the cloud.

  • Understanding of NVIDIA's accelerated computing platform across hardware (Networking, GPU, and CPU),

  • Ability to work at the speed of light while handling evolving priorities.

  • Demonstrated ability to provide thought leadership, think strategically, and influence cross-functionally.

  • Outstanding customer and channel partner relationship skills with strong executive presence.

  • Excellent presentation skills and communication skills (written and verbal).

Ways to stand out from the crowd:

  • Understanding of data science, AI, Gen AI, and accelerated compute and the associated data pipeline.

  • A strong passion for understanding new technologies and adept at conveying their value to business executives and software development leaders.

  • Technical degree or equivalent experience in AI/ML.

  • Excellent listening skills and ability to persuade -- using communication that convey concepts in a creative way.

  • Demonstrated ability to sell and work in a matrix-managed team culture.

NVIDIA is widely considered one of the world's most desirable employers. We attract some of the most forward-thinking and committed people in technology. If you're creative, driven, and ready to help shape the AI revolution, 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 224,000 USD - 356,500 USD for Level 5, and 248,000 USD - 396,750 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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