... GPU/CPU) on Linux, with a focus on C++ and OpenCL. This internship is designed for students who ... Familiarity with objectoriented programming and common design patterns. Analytical and ...
... GPU/CPU) on Linux, with a focus on C++ and OpenCL. This internship is designed for students who ... Familiarity with objectoriented programming and common design patterns. Analytical and ...
Internship Gpu Programming information
What are the key skills and qualifications needed to thrive as an Internship 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 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 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.
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$23.50/hr
Other
Posted 2 days ago
Job description
Job Description Codeworks, an LRS company, is seeking a Software Enginner for a contract/intern opportunity. Join a team developing software that supports MR imaging technology for an industryleading healthcare solutions organization. You'll contribute to algorithm development and highperformance computing (GPU/CPU) on Linux, with a focus on C++ and OpenCL.
This internship is designed for students who want handson experience building reliable, performant software used in healthcare. What You'll Do Contribute to the development and testing of MR reconstruction software using modern highperformance computing hardware (GPGPU, multicore CPU) and software tools. Explore and evaluate emerging HPC technologies to optimize MR performance.
Collaborate with crossfunctional teammates to translate reconstruction algorithms into productready software. Write, review, and maintain code and documentation that follows established standards for quality, security, and reliability. Minimum Qualifications Current junior standing (or equivalent progress) in Computer Science, Software Engineering, Biomedical Engineering, Electrical Engineering, or a related field.
Experience with C++ and exposure to Linux. Familiarity with objectoriented programming and common design patterns. Analytical and problemsolving skills; ability to work both independently and collaboratively.
The base range for this contract position is $23.50 per hour. The pay reflects the minimum and maximum target for new hires of this position across all U.S. locations
Individual pay is determined by work location and additional job-related factors. Codeworks, an LRS company, is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status.
In some cases, Codeworks, an LRS company, uses generative artificial intelligence ("AI") in support of our hiring processes. Codeworks takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications.
All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact AI.Questions@lrs.com with any questions.