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Internship Gpu Programming Jobs (NOW HIRING)

$105K - $149K/yr

Collaborates with GPU architects, RTL developers, and physical design teams to improve verification ... Benefits Internships Life at Intel Locations Recruitment Process #J-18808-Ljbffr

... GPU programming, and performance optimization. Contributes to the design, development, and ... Available to work part-time for 6-12 months and to work onsite for the duration of the internship ...

... GPU programming, and performance optimization. Contributes to the design, development, and ... Available to work part-time for 6-12 months and to work onsite for the duration of the internship ...

As part of our Silicon Engineering group, you'll help design and manufacture our next-generation ... An internship or prior work experience in timing closure or physical design. Experience working ...

GPU Physical Design Engineer, STA/Timing

Austin, TX ยท On-site

$134K - $138K/yr

As part of our Silicon Engineering group, you'll help design and manufacture our next-generation ... An internship or prior work experience in timing closure or physical design. Experience working ...

GPU Physical Design Engineer, STA/Timing

Austin, TX ยท On-site

$134K - $138K/yr

As part of our Silicon Engineering group, you'll help design and manufacture our next-generation ... An internship or prior work experience in timing closure or physical design. Experience working ...

As part of our Silicon Engineering group, you'll help design and manufacture our next-generation ... An internship or prior work experience in timing closure or physical design. Experience working ...

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Internship Gpu Programming information

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How much do internship gpu programming jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for internship gpu programming in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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.
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Infographic showing various Internship Gpu Programming job openings in the United States as of September 2026, with employment types broken down into 6% Internship, 83% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Junior Software Engineer - Modeling and Simulation

Huntsville, AL โ€ข On-site

Aviation & Missile Solutions
Engineering Professional Servicesย โ€ขย 51 - 200 employees

Full-time

Posted 23 days ago


Key responsibilities

  • Develop, maintain, and test high-fidelity, physics-based simulation models for US Army radar systems.

  • Support the execution of digital modeling and simulation models in real-time hardware-in-the-loop and digital simulation frameworks.

  • Process and visualize simulation output data to compare model performance against empirical field test data.


Job description

Aviation & Missile Solutions, LLC. (AMS) is seeking a talented Software Developer with a degree in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Applied Physics, or a closely related STEM discipline to join our diverse team, in Huntsville, AL., to create unique solutions for complex problems. AMS provides responsive, cost-effective engineering and scientific solutions ranging from air and missile defense technologies, command and control, radar systems, seekers, modeling & simulation, and prototype hardware development and testing.

Position Description:

The Software Engineer performing this role works alongside senior engineering staff and domain experts to develop, maintain, and test high-fidelity, physics-based simulation models for the US Army radar systems.

In this entry-level role, you will receive direct mentorship while writing modern C++ software, learning GPU acceleration (CUDA), running simulation test suites, and integrating digital models into real-time Hardware-in-the-Loop (HWIL) testbeds within the Government System Integration Lab (GSIL) and faster-than-real-time cluster execution environments (IAMDSIM). This position provides a strong growth trajectory in defense software engineering, high-performance computing, and radar signal processing.

Essential Duties/ Responsibilities:

  • Software Development & Maintenance: Under mentorship, design, implement, and maintain modular C++ source code for radar subsystem models (transmitters, receivers, signal processing, and environmental effects). Refactor and optimize existing algorithms for human readability, maintainability, and native Linux execution.
  • Integration & Testing Support: Support the execution of digital M&S models in both real-time HWIL and discrete event digital simulation frameworks. Execute pre-test simulation runs to verify test plans, target geometry, and tactical software builds prior to field testing.
  • Data Analysis & Verification: Process and visualize simulation output data to assist in comparing model performance against empirical field test data.

Location:

  • Huntsville, AL
  • Position is full-time in the office.

Basic Qualifications (required):

  • Proficiency in C++ (C++11 or newer) gained through coursework, academic projects, research, or internships.
  • Solid understanding of core computer science fundamentals: data structures, algorithms, object-oriented design, and software debugging.
  • Familiarity with Linux/Unix operating system environments (RHEL, Rocky Linux, Ubuntu, or CentOS).
  • Basic understanding of Git version control operations.
  • Strong written and verbal communication skills for collaborating in a team environment.
  • United States Citizenship.
  • Ability to obtain and maintain a DoD Secret Security Clearance.
  • Resident of the Huntsville, AL area or be willing to relocate.

Preferred Skills/Abilities:

  • Coursework or project experience in parallel computing or GPU programming concepts (e.g., NVIDIA CUDA, OpenMP, or multi-threading).
  • Coursework or academic projects involving digital signal processing, linear algebra, electromagnetics, physics simulations, or numerical methods.
  • Familiarity with build systems (e.g., CMake) or dependency management tools (e.g., Conan).
  • Exposure to Python or bash scripting for automated testing and data visualization.
  • An active DoD Secret Security Clearance.

Required Education and Experience:

  • Candidate must possess a Bachelor of Science in Computer Science, Computer Engineering, Software Engineering, Electrical Engineering, Applied Physics, or a closely related STEM discipline from ABET accredited university.
  • Experience: 0 to 2 years of professional or technical software engineering experience. Recent college graduates and entry-level candidates are strongly encouraged to apply.
  • GPA must be 3.5+.

Travel Requirements:

  • Must be able to travel up to 5% of the year.

Physical Requirements:

  • Prolonged periods of sitting at a desk and working on computers, monitors, and development workstations.
  • Must be able to lift and move standard computer hardware and lab equipment up to 20 lbs during lab configuration or equipment maintenance.
  • Ability to perform duties in standard office, closed-area facility, and software integration laboratory environments.

Security Requirements:

  • Citizenship: Candidate must be a US only citizen.
  • Clearance level: possess (and be able to maintain) a DoD SECRET Clearance or meet the eligibility to obtain (and maintain) a DoD SECRET SECRET Clearance.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or status as a protected veteran.