Image and Data Processing Libraries Intern

NVIDIA; Berlin; On-site; EUR 10,000 - 17,000; Full time

Job summary

NVIDIA in Berlin is seeking a motivated software engineering intern to help build GPU/CPU accelerated libraries for AI, data analytics and scientific applications. You will work with senior engineers to extend existing libraries and create new algorithms, APIs, and performance improvements.

You're pursuing a degree in CS/AI/math or related field, with skills in C/C++ and Python, plus GPU programming (CUDA/OpenCL). The program offers mentorship, diverse projects, and an inclusive environment.

Qualifications

• 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).

Responsibilities

• 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

Skills

C/C++

Python

GPU programming

OpenMP

MPI

CUDA

OpenCL

Image compression

Education

CS/AI/Math degree student

Job description

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.

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).