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Nvidia Data Scientist Jobs in Colorado (NOW HIRING)

Nvidia

Senior Architect, Data Center Modeling

Boulder, CO

$69.75 - $93.25/hr

At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance ... Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related ...

Nvidia

Director, Rack Scale Software Architecture

Boulder, CO · On-site

$262K/yr

NVIDIA has a rapidly expanding ecosystem of data center platform & node designs. From single node ... Science, or related degree or equivalent experience. * 15+ overall years of experience in the area ...

Nvidia

HPC Middleware Developer

Boulder, CO

MSc or equivalent experience in computer science / software engineering. Ways to stand out from the ... NVIDIA is widely considered to be one of the technology world's most desirable companies to work ...

AMERICAN SYSTEMS

NISSC 3 TMAC Lead

Colorado Springs, CO · On-site

  • Medical

  • Retirement

  • PTO

NetBackup tape backup management; and OnTAP management of datacenter storage. • Manage NVIDIA ... Data Science, Software Engineering, or a closely related field, OR Equivalent DoD/Military training ...

AMERICAN SYSTEMS

NISSC 3 TMAC Lead

Colorado Springs, CO · On-site

  • Medical

  • Retirement

  • PTO

NetBackup tape backup management; and OnTAP management of datacenter storage. • Manage NVIDIA ... Data Science, Software Engineering, or a closely related field, OR Equivalent DoD/Military training ...

Deloitte

Finance Analytics & AI Senior Consultant

Denver, CO · On-site

$119K/yr

Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting ... NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of ...

Unit8 SA

Deployment Strategist (USA)

Denver, CO

$125K - $161K/yr

  • Medical

  • Retirement

Our esteemed partnerships with industry giants like Palantir , NVIDIA , and OpenAI underscore our ... Collaborate with Unit8 Data Scientists and Engineers to ensure the backend logic supports the ...

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All JobsNvidia Data Scientist JobsNvidia Data Scientist Jobs in Colorado

Nvidia Data Scientist information

See Colorado salary details

$48.4K

$173.5K

$256K

How much do nvidia data scientist jobs pay per year?

As of Aug 15, 2026, the average yearly pay for nvidia data scientist in Colorado is $173,519.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,400.00 and $178,800.00 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 the most commonly searched types of Nvidia Data Scientist jobs in Colorado?

The most popular types of Nvidia Data Scientist jobs in Colorado are:

What are popular job titles related to Nvidia Data Scientist jobs in Colorado?

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

What job categories do people searching Nvidia Data Scientist jobs in Colorado look for?

The top searched job categories for Nvidia Data Scientist jobs in Colorado are:

What cities in Colorado are hiring for Nvidia Data Scientist jobs?

Cities in Colorado with the most Nvidia Data Scientist job openings:

Nvidia Data Scientist jobs near you
Infographic showing various Nvidia Data Scientist job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $173,519 per year, or $83.4 per hour.

Senior Architect, Data Center Modeling

Nvidia

Boulder, CO

$69.75 - $93.25/hr

Full-time

Re-posted 3 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

Imagine shaping the future of AI and computing at one of the most innovative companies in the world. At NVIDIA, we are redefining industries with our groundbreaking advancements in High-Performance Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers, are at the core of revolutionary technologies from AI to autonomous vehicles. Join us in pushing the boundaries of what's possible, enabling extraordinary creativity and discovery, and turning science fiction into reality. We are seeking visionary computer architects to design and develop models for the next generation of GPU-accelerated datacenters.

What you'll be doing:

  • Guiding the fundamental software design, architecture, and implementation of cost and power modeling of datacenter-scale accelerated computing platforms

  • Evangelizing modern software architecture design patterns and tools, including AI-driven solutions, to accelerate development, enhance performance, and improve code quality across the team.

  • Implementing industry-leading software and dev-ops best practices tailored for rapidly growing teams, fostering a culture of continuous improvement and innovation.

  • Making hands-on and significant contributions to a business-critical codebase, directly impacting the future of high-performance computing and AI technologies.

What we need to see:

  • Bachelors degree in Computer Science, Computer Engineering, Electrical Engineering or related fields or equivalent experience (MS preferred)

  • 8+ years of experience in systems architecture and modeling, especially performance, power, or cost modeling of distributed systems.

  • Exceptional programming skills in Python, accompanied by strong mathematical and analytical skills.

  • Excellent interpersonal skills with success contributing to projects within multi-discipline teams.

  • Proven track record of contributions to scaled Python-based software projects

Ways to stand out from the crowd:

  • Experience with accelerated server architecture design and deployment, especially up to hyperscale.

  • Background in parallel computing, server architecture, or datacenter design.

  • An excitement and curiosity about the future of accelerated computing and AI

  • Expertise in data analysis and visualization, especially pandas and associated technologies

  • A love of technology and passion for your 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 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

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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