Waukesha, WI · On-site
$23.50/hr
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 ...
Waukesha, WI · On-site
$23.50/hr
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 ...
| Aspect | Internship Opencl | Internship CUDA |
|---|---|---|
| Required Credentials | Basic programming skills, knowledge of parallel computing | Basic programming skills, knowledge of parallel computing, some familiarity with NVIDIA hardware |
| Work Environment | Cross-platform, supports various hardware vendors | NVIDIA-specific hardware and software environment |
| Industry Usage | Used in diverse industries for hardware-agnostic parallel processing | Primarily used in industries leveraging NVIDIA GPUs for high-performance computing |
| Search & Comparison Intent | Commonly compared for cross-platform development opportunities | Compared for NVIDIA-specific GPU development roles |
Internship Opencl focuses on cross-platform parallel programming, suitable for various hardware vendors, while Internship CUDA is tailored for NVIDIA GPU development. Both roles require foundational programming skills, but CUDA internships often demand familiarity with NVIDIA hardware. The choice depends on the target hardware environment and industry needs.
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$23.50/hr
Contractor, Internship
Re-posted 24 days ago
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.