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Internship Gpu Programming Jobs in Colorado (NOW HIRING)

Atom Computing

Platform Engineer

Boulder, CO

$120K - $145K/yr

Design, build, and maintain infrastructure supporting quantum control systems including GPU compute ... Internship or work experience as an infrastructure, platform, or systems engineer. Atom Computing ...

Atom Computing

Platform Engineer

Boulder, CO · On-site

$120K - $145K/yr

Design, build, and maintain infrastructure supporting quantum control systems including GPU compute ... Internship or work experience as an infrastructure, platform, or systems engineer. * Have used ...

Atom Computing

Platform Engineer

Boulder, CO · Hybrid

$120K - $145K/yr

Design, build, and maintain infrastructure supporting quantum control systems including GPU compute ... Internship or work experience as an infrastructure, platform, or systems engineer. * Have used ...

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Internship Gpu Programming information

What is an internship in GPU programming?

An Internship in GPU Programming is a temporary position, often held by students or recent graduates, where individuals gain hands-on experience working with Graphics Processing Units (GPUs) to develop, optimize, and accelerate software applications. Interns typically work on projects involving parallel computing, machine learning, graphics rendering, or scientific simulations using programming languages such as CUDA or OpenCL. These internships provide an opportunity to learn from experienced engineers, contribute to real-world projects, and develop specialized skills that are valuable in technology and research industries.

What types of projects or tasks can an intern expect to work on in a GPU programming internship?

As a GPU programming intern, you can expect to work on tasks such as optimizing existing code for GPU acceleration, developing parallel algorithms using CUDA or OpenCL, and assisting in the profiling and debugging of GPU applications. Interns often collaborate with researchers and software engineers to implement new features or improve the performance of computational workflows. You may also contribute to documentation and testing, gaining exposure to real-world applications in fields like machine learning, scientific computing, or graphics rendering.

What are the key skills and qualifications needed to thrive as an internship in GPU programming, and why are they important?

To thrive as an Internship GPU Programming, you need a solid background in computer science, mathematics, and programming languages such as C++ and Python, often supported by coursework or personal projects in parallel computing. Familiarity with GPU programming frameworks like CUDA or OpenCL and version control systems (e.g., Git) is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns collaborate with teams and troubleshoot complex issues. These skills and qualities are essential for efficiently developing, optimizing, and debugging GPU-accelerated applications in a fast-paced, technical environment.

What are the most commonly searched types of Gpu Programming jobs in Colorado?

The most popular types of Gpu Programming jobs in Colorado are:

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For Internship Gpu Programming jobs in Colorado, the most frequently searched job titles are:

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Internship Gpu Programming jobs near you
Infographic showing various Internship Gpu Programming job openings in Colorado as of August 2026, with employment types broken down into 1% Internship, 79% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

2027 Machine Learning Summer Internship

Advanced Space

Westminster, CO • On-site

$28 - $37/hr

Temporary, Internship

Posted 8 days ago

Job description

Advanced Space | 2027 Summer Internship | Onsite
We're going to the Moon. Think you've got what it takes?
About the Role
At Advanced Space, we're enabling humanity's return to the Moon and building the technologies that will take us to Mars and beyond. We're looking for a 2027 Machine Learning Summer Intern to join our team and help push the state of the art in aerospace applications.
As a Machine Learning Intern, you'll work alongside experienced technical staff who will provide mentorship and guidance throughout your internship. You'll gain hands-on experience designing, developing, testing, and applying machine learning models to solve complex engineering challenges supporting the future of space exploration.
This internship is ideal for students passionate about artificial intelligence, machine learning, aerospace applications, and applied research. You'll have the opportunity to work on meaningful projects while collaborating with engineers and researchers developing innovative solutions for real space missions.
About Advanced Space
Advanced Space exists to enable the sustainable exploration, development, and settlement of space through innovative software, mission services, and technology solutions. As the owner and operator of NASA's CAPSTONE™ mission and the Prime Contractor for AFRL's Oracle mission, we're helping shape the future of cislunar exploration while supporting commercial, civil, and national security customers.
Our team combines deep technical expertise with an entrepreneurial mindset. We move quickly, collaborate across disciplines, and empower every engineer to make meaningful contributions. If you're passionate about solving challenging problems and seeing your work fly in space, you'll fit right in.
What You'll Actually Do
Develop machine learning solutions for aerospace applications.
Research, implement, and evaluate state-of-the-art machine learning algorithms and techniques to solve challenging engineering problems.
Build and test ML models.
Design, develop, and improve machine learning models and systems supporting applications such as:
  • Spacecraft autonomy
  • Anomaly detection
  • Natural language processing
  • Uncertainty quantification
  • Multimodal signal detection

Analyze data and optimize performance.
Perform data preprocessing, feature engineering, model evaluation, and optimization to improve the performance, scalability, and reliability of ML solutions.
Collaborate with engineering teams.
Work alongside aerospace and software engineers to integrate machine learning solutions into mission-focused applications.
Share your research and findings.
Document technical work and present project results through reports, presentations, and discussions with the technical team.
Who Thrives Here
  • You are currently pursuing a degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • You have experience programming in Python and working with data processing libraries such as Pandas, NumPy, or Scikit-learn.
  • You have experience with machine learning frameworks such as TensorFlow or PyTorch.
  • You understand foundational machine learning concepts, including supervised and unsupervised learning, classification, regression, clustering, and dimensionality reduction.
  • You are familiar with software development best practices, including Git version control.
  • You enjoy solving complex technical problems and conducting applied research.
  • You communicate technical concepts clearly and collaborate effectively with teammates.

Bonus Points if You Have Experience With
  • CUDA C/C++ or GPU computing
  • High-performance or scientific computing
  • Natural language processing
  • Computer vision
  • Aerospace engineering concepts such as nonlinear estimation, optimization, or control theory
  • Machine learning applied to engineering or scientific problems

Success is Measured By
  • Developing and evaluating machine learning solutions for real aerospace challenges.
  • Applying ML techniques to meaningful mission-focused projects.
  • Collaborating effectively with engineers and technical staff.
  • Communicating research findings clearly through documentation and presentations.
  • Building technical skills through mentorship and hands-on experience.

Why Join Advanced Space
  • Gain hands-on experience applying machine learning to real space missions.
  • Work alongside engineers and researchers solving complex aerospace challenges.
  • Contribute to innovative projects supporting missions to the Moon and beyond.
  • Receive mentorship and guidance from experienced technical staff.
  • Be part of a growing company where your contributions directly support mission success.

Compensation & Benefits
  • Competitive internship compensation: $28-$37/hour
  • Housing stipend
  • Mentorship and guidance from technical staff
  • Opportunities to contribute to research projects directly tied to active space missions
  • Collaborative work environment at our Westminster, Colorado headquarters

Advanced Space is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

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