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Supercomputer Jobs in Colorado (NOW HIRING)

The team is responsible for developing high performance communication frameworks and applications running in production on the world's largest supercomputers and datacenters. The work environment is ...

PHY Lab Technician

Fort Collins, CO · On-site

$25.34 - $35.48/hr

APD's customers span a wide range of industries developing ASICs for the largest and most complex cloud computing AI engines, supercomputers, and networking, through to low power and the most ...

APD's customers span a wide range of industries developing ASICs for largest and most complex cloud computing AI engines, supercomputers, networking, to low power and most advanced wireless solutions ...

APD's customers span a wide range of industries developing ASICs for the largest and most complex cloud computing AI engines, supercomputers, and networking, through to low power and the most ...

APD's customers span a wide range of industries developing ASICs for largest and most complex cloud computing AI engines, supercomputers, networking, to low power and most advanced wireless solutions ...

SIMILAR CAREER TITLES High-Performance Computing Architect, Parallel Computing Architect, Computational Systems Architect, HPC Systems Engineer, Software Optimization Architect, Supercomputing ...

Simulations will be performed on some of the world's fastest GPU-accelerated supercomputers operated by the U.S. Department of Energy. Familiarity with high-performance computing environments to ...

IP Integration Engineer

Fort Collins, CO · On-site

$102K - $138K/yr

APD's customers span a wide range of industries developing ASICs for largest and most complex cloud computing AI engines, supercomputers, networking, to low power and most advanced wireless solutions ...

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Supercomputer information

What are 5 jobs in computer science?

Five common jobs in computer science include software developer, systems analyst, network administrator, cybersecurity analyst, and data scientist. These roles often require programming skills, knowledge of algorithms, and familiarity with computer systems and networks. They are found in various industries such as technology, finance, healthcare, and government.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as specialized professions like top-tier surgeons, investment bankers, and successful entrepreneurs. These roles typically require extensive experience, advanced skills, and often involve significant responsibilities or ownership stakes.

Which 3 jobs will survive AI?

Supercomputing roles such as computational scientists, data analysts, and software engineers are likely to persist as they require complex problem-solving, specialized knowledge, and ongoing innovation. These jobs involve designing, maintaining, and utilizing high-performance systems that are difficult to fully automate. Skills in programming, data management, and domain expertise will remain valuable in these fields.

What are the key skills and qualifications needed to thrive in the Supercomputer position, and why are they important?

To thrive as a Supercomputer Engineer, you need expertise in high-performance computing (HPC), computer architecture, parallel programming, and advanced mathematics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools such as MPI, OpenMP, Linux systems, and certifications like Certified HPC Professional can be critical. Strong problem-solving abilities, collaboration, and communication skills set exceptional candidates apart in multidisciplinary environments. These competencies are essential for building, optimizing, and managing supercomputing resources that drive scientific discovery and innovation.

What tech jobs pay 400,000 a year?

High-level roles such as senior software engineers, data scientists, and machine learning engineers can earn $400,000 or more annually, especially with experience, advanced skills, and in competitive industries. Executive positions like CTOs and technical directors also often reach or exceed this salary level, typically requiring extensive leadership experience and specialized expertise.

What are the typical responsibilities of a Supercomputer Engineer on a daily basis?

Supercomputer Engineers are responsible for designing, configuring, and maintaining high-performance computing systems to support complex computations in fields such as scientific research, weather modeling, and data analytics. On a daily basis, they might monitor system performance, troubleshoot hardware or software issues, optimize code for scalability, and collaborate closely with researchers and IT professionals to ensure workloads run efficiently. Additionally, they often assist in upgrading systems and implementing the latest technologies to maximize computational power. Working in this role offers opportunities for ongoing professional development and cross-functional teamwork, making each day both challenging and rewarding.

What is a Supercomputer job?

A Supercomputer job typically involves working with high-performance computing (HPC) systems to process complex calculations at extremely high speeds. Professionals in this field may develop software, optimize system performance, manage hardware infrastructure, or support scientific and engineering research. These roles are common in fields such as climate modeling, artificial intelligence, biomedical research, and financial simulations.

What are the most commonly searched types of Supercomputer jobs in Colorado? The most popular types of Supercomputer jobs in Colorado are:
What are popular job titles related to Supercomputer jobs in Colorado? For Supercomputer jobs in Colorado, the most frequently searched job titles are:
Infographic showing various Supercomputer job openings in Colorado as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
HPC Middleware Developer

HPC Middleware Developer

Nvidia

Boulder, CO • On-site

Full-time

Posted 12 days ago


Nvidia rating

9.3

Company rating: 9.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

15th of 209 rated software companies


Job description

We are now looking for a senior HPC software engineer. As a member of our the High Performance Computing Software development team, you will be responsible for designing and implementing new protocols and algorithms that enable the best performance possible on Nvidia networked supercomputers and datacenters. This role offers you an excellent opportunity to deliver production grade solutions, get hands on with ground-breaking technology, and work closely with technical leaders solving some of the biggest challenges in machine learning, cloud computing, and system co-design.

What you'll be doing:

The team is responsible for developing high performance communication frameworks and applications running in production on the world's largest supercomputers and datacenters. The work environment is dynamic and challenging; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features. Our team works closely with networking chip design teams in co-designing new hardware features and software APIs.

What we need to see:

  • 5 years' experience of Programming in C/C++

  • 3 years' experience in Linux environment and tools

  • Deep knowledge of Networking Protocols InfiniBand, Ethernet

  • Deep knowledge in computer architecture and operating systems

  • Experience in performance optimizations

  • MSc or equivalent experience in computer science / software engineering.

Ways to stand out from the crowd:

  • You have positive attitude and work well with others.

  • PhD or equivalent experience in CS/EE/Math/Physics

  • Knowledge in MPI and High-performance computing

  • Knowledge in RDMA technology

  • Open Source Software Contributor

For two decades, we have pioneered visual computing, the art and science of computer graphics. With our invention of the GPU - the engine of modern visual computing - the field has expanded to encompass video games, movie production, product design, medical diagnosis and scientific research. Today, we stand at the beginning of the next era, the AI computing era, ignited by a new computing model, GPU deep learning. This new model - where deep neural networks are trained to recognize patterns from massive amounts of data - has shown to be deeply effective at solving some of the most complex problems in everyday life. NVIDIA is widely considered to be one of the technology world's most desirable companies to work for. Are you creative and driven? Do you love a challenge? If so, we want to hear from you.

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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 12, 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

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