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Cuda Internship information

What is a Cuda internship?

A CUDA Internship is a temporary position where interns work with NVIDIA's CUDA parallel computing platform. They typically assist in developing and optimizing GPU-accelerated applications for tasks like machine learning, scientific computing, and gaming. Interns may work on improving algorithms, writing CUDA kernels, or debugging performance issues. This role requires knowledge of C/C++, GPU architectures, and parallel programming concepts. It's ideal for students or recent graduates interested in high-performance computing and GPU programming.

What kind of projects or tasks can I expect to work on during a Cuda internship?

As a CUDA intern, you’ll typically work on tasks related to developing, profiling, or optimizing GPU-accelerated applications and algorithms. Your responsibilities may include writing and testing CUDA kernels, analyzing code performance, and assisting in integrating GPU computing into software projects. You may also collaborate with experienced engineers, learn to use industry-standard tools, and participate in team meetings to discuss technical challenges or progress. This hands-on experience is designed to strengthen your technical skills while giving you insight into real-world GPU development workflows.

What are the key skills and qualifications needed to thrive in the Cuda internship position, and why are they important?

To thrive as a Cuda Intern, you should have a solid background in computer science, strong programming skills (especially in C/C++), and foundational knowledge of parallel computing or GPU architectures. Familiarity with CUDA programming, NVIDIA development tools, and understanding of performance optimization techniques are highly valuable for this role. Strong problem-solving abilities, eagerness to learn, and good teamwork and communication skills will help you excel as an intern. These competencies enable you to contribute effectively to CUDA-based projects and adapt to the fast-paced, innovative environment often found in tech industries.

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Cuda Internship jobs near you

Junior Software Engineer - Internship

Aechelon Technology

Overland Park, KS

Internship

Re-posted 21 days ago

Job description

We are currently seeking students who have attained Sophomore or Junior Status in Computer Science or Computer Engineering programs to join our Summer Internship program. In addition to technical acumen, we highly value leadership skills as we believe innovation thrives when developers take initiative to make great software.

This position will be a member of our core 3D Graphics Software Engineering team, which develops pC-Nova, Aechelon Technology's industry-leading visual simulation application, based in our Overland Park, Kansas office. This role will be paired with a Mentor who will assist in developing new technologies to improve Aechelon's products. This role will have the opportunity to contribute to Aechelon's shipping products and therefore make a lasting impact on our Company and our end users.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

  • Collaborate with core 3D Graphics Software Engineering team to develop and enhance pC-Nova, Aechelon Technology's flagship visual simulation application
  • Work closely with dedicated Mentor to design and implement new technologies aimed at improving Aechelon's product offerings
  • Contribute directly to production-level software, with the opportunity to make a meaningful and lasting impact on both company products and end-user experience

REQUIRED QUALIFICATIONS:

  • Passion for developing fast code and solid software engineering principles
  • In-depth knowledge of and experience programming in C or C++ languages
  • Two years progress towards B.S. in Computer Science or Computer Engineering
  • Strong analytical and problem-solving skills
  • Ability to work with export-controlled technology

DESIRED COMPETENCIES:

  • Experience with developing 3D applications with Open GL or Direct3D
  • Experience with rendering engines such as Unreal, Unity or Babylon.js
  • Experience with multi-processing real time systems
  • Experience with GPGPU development using CUDA, OpenCL, or OpenGL Compute
  • Experience with machine-learning technology such as Convolutional Neural Networks
  • Experience with defect tracking systems such as Jira or Bugzilla
  • Experience with Configuration Management (CM) systems such as Perforce
  • Proficiency with scripting languages: bash, Javascript, Python, etc.

We seek people who share our company's values of extraordinary commitment to technology, customers and the pursuit of excellence. We will give you a chance to work with some of the most talented people in the simulation and training industry.

Apply