Before you apply
Listed location: Poland, Warsaw | Switzerland, Zurich
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
Around the world, leading commercial and academic organizations are using GPU to redefine AI, scientific and engineering simulations, and data analytics. Did you know that the GPU accelerated libraries developed by NVIDIA are used in such industries such as healthcare, VR, autonomous vehicles, social media, and e-commerce? If the idea of contributing to these excite you, come join our team and help us build accelerated software libraries which are used by the entire world.
In this role you will be part of our team responsible for the development of libraries that provide groundbreaking functionality and performance. The internship may include extending the capabilities of existing as well as building new libraries that will be used in various AI and HPC applications. It will involve working with senior software engineers who will provide mentorship and guidance.
The project will include implementing new image and data processing algorithms, defining APIs, analyzing performance, finding appropriate solutions for difficult numerical corner cases, and other general software engineering work.
What you’ll be doing:
- Collaborating with team members and other partners to understand software use cases and requirements.
- Research, analyze, and document state-of-the art algorithms
- Develop algorithms for image and data compression and processing
- Analyze and improve performance of existing implementations
What we need to see:
- Pursuing a degree in Computer Science, Artificial Intelligence, Applied Math, or related field
- Programming skills (C/C++, Python)
- Parallel or GPU programming experience (AVX, NEON, OpenMP, MPI, CUDA or OpenCL)
- Experience with image coding (jpg, tiff, etc) or data compression algorithms (LZW, DEFLATE, etc)
Ways to stand out from the crowd:
- Knowledge of image processing algorithms
- Performance analysis and test design skills
- Familiarity with floating-point arithmetic internals and numerical error analysis.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Skills mentioned
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Frequently asked questions
Is the Image and Data Processing Libraries Intern position at NVIDIA remote?
The Image and Data Processing Libraries Intern role at NVIDIA does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Image and Data Processing Libraries Intern role?
NVIDIA is hiring for a full-time Image and Data Processing Libraries Intern position.
Which skills are mentioned for the Image and Data Processing Libraries Intern job at NVIDIA?
Detected skill labels include Python, CUDA, GPU. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Image and Data Processing Libraries Intern position at NVIDIA?
You can apply for the Image and Data Processing Libraries Intern role directly through NVIDIA's official application link provided on this page.
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