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High Performance Computing Jobs in Denver, CO (NOW HIRING)

Nvidia

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 Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers ...

Nvidia

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 Computing, Artificial Intelligence, and Visualization. Our GPUs, the visual cortex of modern computers ...

Cymertek Corporation

HPC Software Architect

Aurora, CO · On-site

... High-Performance Computing, Numerical Analysis, Scientific Computing, Statistics, Cyber-Physical Systems, or related field • TS/SCI Full Poly clearance and full U.S. Citizenship Preferred : • ...

Nrel

Center Director-Computational Sciences

Golden, CO · On-site

$19.50 - $26.75/hr

Maintain broad and current knowledge of computational science, high-performance computing, AI, visualization, and relevant computing topics in order to guide the Center's technical direction ...

ZutaCore

Support & Deployment Engineer

Denver, CO · Hybrid

Company Overview ZutaCore is a leader in waterless, direct-to-chip liquid cooling solutions for AI and high- performance computing workloads. Powered by its patented two-phase ZutaCore HyperCool ...

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High Performance Computing information

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$41.2K

$102.4K

$158K

How much do high performance computing jobs pay per year?

As of Sep 2, 2026, the average yearly pay for high performance computing in Denver, CO is $102,442.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,400.00 and $129,700.00 per year, depending on experience, location, and employer.

What is high performance computing?

A High Performance Computing (HPC) job involves designing, managing, and optimizing advanced computing systems used for complex calculations, simulations, and data processing. Professionals in this field work with supercomputers, parallel computing frameworks, and high-speed networks to enhance computational efficiency. HPC specialists are commonly employed in scientific research, engineering, finance, and artificial intelligence to solve large-scale problems. Responsibilities often include developing algorithms, maintaining HPC clusters, and improving system performance.

What are the typical responsibilities of someone working in high performance computing?

Professionals in High Performance Computing (HPC) are often responsible for designing, implementing, and maintaining powerful computing clusters tailored for processing large data sets or running complex simulations. Daily tasks may include optimizing code and workflows for parallel environments, troubleshooting hardware and software issues, and supporting researchers or engineers in using HPC resources efficiently. Collaboration is common, as HPC specialists work closely with IT staff, domain scientists, and software developers to ensure systems meet project and organizational goals. This role provides a challenging and dynamic work environment, offering opportunities to continually learn about emerging technologies and methodologies in computational science.

What are the key skills and qualifications needed to thrive in high performance computing, and why are they important?

To thrive in High Performance Computing, you need expertise in parallel computing, computer architecture, and programming languages such as C/C++ or Fortran, often backed by a relevant degree in computer science or engineering. Familiarity with HPC cluster management, job scheduling systems (e.g., SLURM), and experience with accelerators like GPUs or cloud platforms is crucial; certifications in Linux administration or HPC technologies are advantageous. Strong problem-solving skills, attention to detail, and effective communication abilities help professionals excel in complex, collaborative environments. These qualifications enable the efficient design, deployment, and maintenance of advanced computing infrastructure to support scientific and engineering applications.

Is high performance computing still relevant?

High Performance Computing (HPC) remains highly relevant as it enables complex data processing, scientific simulations, and large-scale analytics across industries such as research, finance, and technology. HPC specialists with skills in parallel programming, cluster management, and relevant tools like MPI or CUDA are in demand to support advancements in AI, climate modeling, and big data analysis.

What are examples of high performance computing?

High Performance Computing (HPC) involves using powerful supercomputers and parallel processing techniques to solve complex computational problems. Examples include climate modeling, molecular simulations, financial risk analysis, and large-scale data processing in scientific research. HPC jobs often require knowledge of programming languages like C++ or Fortran, and familiarity with cluster management and parallel computing frameworks such as MPI or OpenMP.

What are popular job titles related to High Performance Computing jobs in Denver, CO?

For High Performance Computing jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching High Performance Computing jobs in Denver, CO look for?

The top searched job categories for High Performance Computing jobs in Denver, CO are:

What cities near Denver, CO are hiring for High Performance Computing jobs?

Cities near Denver, CO with the most High Performance Computing job openings:

High Performance Computing jobs near you
Infographic showing various High Performance Computing job openings in Denver, CO as of August 2026, with employment types broken down into 91% Full Time, 2% Part Time, and 7% Contract. Highlights an 82% In-person, 9% Hybrid, and 9% Remote job distribution, with an average salary of $102,442 per year, or $49.3 per hour.

Senior Architect, Data Center Modeling

Nvidia

Boulder, CO • On-site

$69.75 - $93.25/hr

Full-time

Re-posted 21 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 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

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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

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