Image and Data Processing Libraries Intern

AI in this role

Develops high-performance GPU and CPU accelerated software libraries powering AI, computer vision, and scientific simulations.

cpythoncudaopenmp

computer-vision

Join our multidisciplinary team and help build and improve GPU and CPU accelerated software libraries. Starting from powering AI, data analytics, image processing, computer vision, and scientific simulations for leading commercial and academic organizations worldwide.

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, HPC or medical 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.

#LI-Hybrid

Our internship pay is based on the position, your location, year in school, degree, and experience. For Poland: the annual range for our interns is 117,750 PLN - 204,100 PLN. (pro-rated for the duration of the internship).

How we rate this

Image and Data Processing Libraries Intern at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Computer VisionCPythonCudaOpenmp

Questions you could be asked

Walk me through a computer vision problem you solved, from raw data to a deployed model.
Walk me through how you've used C in your day-to-day work.
What are the limits of Python that you've run into, and how did you work around them?
What's a project where you used Cuda hands-on?
Walk me through how you've used Openmp in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Computer Vision, C, Python, Cuda, and Openmp. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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