We are now looking for a Developer Technology, Data Analytics Intern!

NVIDIA is hiring passionate, extraordinary interns to work in its Developer Technology (DevTech) team. Artificial intelligence, the dream of computer scientists for over half a century, is no longer science fiction. And in the next few years, it will transform every industry.As high-performance accelerators continue to push deep learning training efficiency and throughput, the data storage and ingestion pipeline is becoming the dominating factor that constrains the overall AI workload performance. GPUs, already known for their efficiency in training and inference, are now also revolutionizing data pre-processing for AI workloads and high-performance data analytics. This internship is an opportunity to contribute to this revolution. Learn about cutting edge algorithms, practice and improve your GPU profiling and optimization skills and squeeze every single bit of performance to get closer to the speed-of-light. Don’t miss your chance to work side-by-side with the world-class performance optimization engineers from the DevTech team. 

What you will be doing:

• Research and develop techniques to GPU-accelerate leading applications in high-performance computing fields within machine learning, data and graph analytics.

• Profile, analyze bottlenecks, dive into architecture detail and implement optimizations to ensure the best possible application performance on the latest-generation GPU architectures.

• Collaborate closely with the DevTech optimization experts to develop novel parallel algorithms and leverage new hardware features. 

What we need to see:

• Pursuing a BS, MS, or PhD degree from a leading university in an engineering or computer science related discipline. Specialization in high-performance databases or machine learning is helpful.

• Programming fluency in C/C++ with a deep understanding of parallel data structures, programming techniques, and algorithms. While not a requirement, experience with Python is useful.

• Strong mathematical fundamentals, including linear algebra and numerical methods.

• Experience with parallel programming, ideally CUDA C/C++.

• Experience with advanced memory management, memory coherence, and data compression is helpful.

NVIDIA is widely considered to be one of the technology world’s most desirable employers with some of the most forward-thinking, inventive, and hardworking people working here - we need your help to build our future. Are you creative, ambitious, and love challenges? We want to hear from you!

The hourly rate for our interns is 19 USD - 93 USD. Our internship hourly rates are a standard pay determined based on the position and your location, year in school, degree, and experience.

You will also be eligible for Internbenefits. NVIDIA accepts applications on an ongoing basis.​

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.