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Temporary Nvidia Data Scientist Jobs in Colorado

Senior Architect, Data Center Modeling

Boulder, CO · On-site

$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 ...

Senior Architect, Data Center Modeling

Boulder, CO · On-site

$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 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 ...

... computer science / software engineering. Ways to stand out from the crowd: You have positive ... NVIDIA is widely considered to be one of the technology world's most desirable companies to work ...

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 ...

Temporary Data Reviewer

Aurora, CO · On-site

$25 - $35/hr

Temporary Data Reviewer Description University of Colorado Anschutz Department: Gates Institute ... Bachelor's degree in a scientific discipline or related field, or an equivalent combination of ...

Temporary Data Reviewer

Aurora, CO · On-site

$25 - $35/hr

Data Reviewer, Temporary Position #: 00782556 Requisition#: 40591 This is a Temporary position ... Bachelor's degree in a scientific discipline or related field, or an equivalent combination of ...

Temporary Data Reviewer

Aurora, CO · On-site

$25 - $35/hr

Data Reviewer, Temporary Position #: 00782556 Requisition#: 40591 This is a Temporary position ... Bachelor's degree in a scientific discipline or related field, or an equivalent combination of ...

Temporary Data Reviewer

Aurora, CO · On-site

$25 - $35/hr

Data Reviewer, Temporary Position #: 00782556 Requisition#: 40591 This is a Temporary position ... Minimum Qualifications: • Bachelor's degree in a scientific discipline or related field, or an ...

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Temporary Nvidia Data Scientist information

What is the difference between Temporary Nvidia Data Scientist vs Temporary Nvidia Data Analyst?

AspectTemporary Nvidia Data ScientistTemporary Nvidia Data Analyst
Required CredentialsBachelor's/Master's in Data Science, Computer Science, or related field; experience with machine learning and AIBachelor's in Data Analysis, Statistics, or related; proficiency in data visualization and SQL
Work EnvironmentCollaborates with AI/ML teams on complex models, often in R&D settingsSupports business insights, reports, and dashboards within corporate or project teams
Employer & Industry UsageTech companies, AI research labs, GPU-focused firmsBusiness intelligence, finance, marketing, and data-driven industries

Temporary Nvidia Data Scientists focus on developing AI and machine learning models, requiring advanced technical skills and research experience. In contrast, Temporary Nvidia Data Analysts primarily interpret data, create reports, and support decision-making with less emphasis on AI/ML techniques. Both roles are essential in tech and data-driven industries but serve different functions within organizations.

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

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

Infographic showing various Temporary Nvidia Data Scientist job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Architect, Data Center Modeling

Boulder, CO • On-site


Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

7th of 247 rated software companies

Great coworkers

People enjoy working here

Good employer


$69.75 - $93.25/hr

Full-time

Re-posted 19 days ago


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.


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


What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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