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Internship High Performance Computing Engineer Jobs in Colorado

Hp

Tech Marketing & Performance Engineer

Fort Collins, CO · On-site

$65K - $101K/yr

You'll support HP's high-performance portfolio by executing structured testing and contributing to ... Typically 0-2 years of relevant experience through internships, or academic projects, or ...

ZutaCore

Support & Deployment Engineer

Denver, CO · Hybrid

... high- performance computing workloads. Powered by its patented two-phase ZutaCore HyperCool ... What you'll do As a Mechanical Deployment Engineer, you will deliver hands-on deployment of ...

Cymertek Corporation

HPC Software Architect

Aurora, CO · On-site

... Engineering, Artificial Intelligence, High-Performance Computing, Numerical Analysis, Scientific Computing, Statistics, Cyber-Physical Systems, or related field • TS/SCI Full Poly clearance and ...

Nvidia

Senior Architect, Data Center Modeling

Boulder, CO · On-site

$69.75 - $93.25/hr

... 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 ...

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All JobsHigh Performance Computing Engineer JobsInternship High Performance Computing Engineer JobsInternship High Performance Computing Engineer Jobs in Colorado

Internship High Performance Computing Engineer information

What are the key skills and qualifications needed to thrive as an Internship High Performance Computing (HPC) Engineer, and why are they important?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

What is the difference between Internship High Performance Computing Engineer vs Internship Data Scientist?

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What is an Internship High Performance Computing Engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an Internship High Performance Computing Engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.
What are popular job titles related to Internship High Performance Computing Engineer jobs in Colorado? For Internship High Performance Computing Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Internship High Performance Computing Engineer jobs in Colorado look for? The top searched job categories for Internship High Performance Computing Engineer jobs in Colorado are:
What cities in Colorado are hiring for Internship High Performance Computing Engineer jobs? Cities in Colorado with the most Internship High Performance Computing Engineer job openings:
Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in Colorado as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Tech Marketing & Performance Engineer

Tech Marketing & Performance Engineer

HP Development Company, L.P.

Fort Collins, CO • On-site

$65K - $101K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 25 days ago

Job description

Tech Marketing & Performance Engineer
Description -
Tech Marketing and Performance Engineer
Power the systems that power the world's most demanding work.
The Tech Marketing and Performance Engineer plays a foundational role in HP's Workstation business. You'll support HP's high-performance portfolio by executing structured testing and contributing to performance validation efforts. This team works at the intersection of hardware, software, and performance, collaborating with internal engineers and industry partners to help ensure HP workstations deliver reliable and measurable results.
In this role, you will build core technical skills by applying computer science fundamentals and learning Linux-based workflows to execute standardized performance benchmarks, support basic automation, and create clear technical documentation. You'll work on well-defined tasks under guidance from senior engineers, gaining exposure to advanced platforms, emerging AI workflows, and professional computing technologies.
Key Responsibilities
ISV Software & Platform Support
  • Support validation and testing of professional software applications (ISVs) across HP workstation platforms.
  • Assist with ISV certification testing, executing test plans and documenting results.
  • Quickly learn and navigate complex software applications to support benchmarks, demos, and workflows.
  • Help reproduce issues and gather data for escalation and resolution.
Performance Testing & Analysis
  • Execute standardized benchmark tests aligned to defined customer workflows.
  • Support execution and validation of AI and data science workloads, including emerging use cases (LLMs, inference, etc.).
  • Collect and organize performance data to ensure accuracy and repeatability.
  • Support identification of performance anomalies and assist in investigation efforts.
Linux Development, Automation & Tooling
  • Work in Linux environments using command-line tools to manage systems and execute tests.
  • Contribute to automation tools and scripts for benchmarking, data collection, and test execution.
  • Support development efforts related to:
  • Benchmark automation frameworks
  • AI workflow testing pipelines
  • System setup and environment configuration
  • Assist with Linux-based development and potential environment/container setup.
Technical Documentation & Enablement
  • Create and maintain technical documentation including test procedures, configurations, and performance summaries.
  • Support development of technical demos, workflow walkthroughs, and enablement materials.
  • Help translate performance data into simple, understandable insights for broader audiences.
Collaboration & Professional Development
  • Work with performance engineers, systems engineers, and technical marketing staff.
  • Actively seek opportunities to learn and contribute, demonstrating self-motivation and ownership of assigned tasks.
  • Build technical understanding of:
  • Workstation hardware platforms
  • GPU/CPU performance
  • ISV workflows and AI use cases
Impact & Scope
  • Contributes through execution of performance tests, automation support, and technical deliverables.
  • Works on well-defined problems with guidance, while building technical independence.
  • Gains exposure to AI workflows, professional applications, and real-world systems performance challenges.
Knowledge & Skills
Required
  • Strong foundation in computer science fundamentals.
  • Python proficiency (hands-on experience beyond coursework strongly preferred)
  • Experience or familiarity with Linux environments and command-line tools
  • Ability to learn quickly and adapt to complex technical applications and workflows
Preferred
  • Experience with AI- data science frameworks (e.g. PyTorch, TensorFlow, Transformers)
  • Exposure to Docker containers or container-based development environments
  • Experience with scripting or automation (Python, Bash, etc.)
  • Familiarity with data science tools or environments
  • Exposure to benchmarking, performance testing, or system-level analysis
Education & Experience
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field, or equivalent experience.
  • Typically 0-2 years of relevant experience through internships, or academic projects, or entry-level roles.
  • Exposure to Linux, operating systems, or systems programming preferred.
Success Measures
  • Benchmark and test results are accurate, repeatable, and aligned to standardized and AI-relevant workflows.
  • Performance data (including AI workloads) delivers meaningful insights for engineering, product, and go-to-market teams.
  • Demonstrates growing contribution to automation tools, scripting, and benchmarking infrastructure.
  • Quickly learns complex ISV applications and produces clear, technically accurate documentation.

The pay range for this role is $65,600 to $101,000 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
Job Posting Expiration Date: 09/25/2026
Job -
Software
Schedule -
Full time
Shift -
Shift 2, 0% premium (United States of America)
Travel -
25%
Relocation -
Not Specified
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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