NVIDIA is hiring a Distributed Systems Engineering Interns to help architect, lead and develop scalable AI infrastructure and deep learning platforms! You will need to have strong programming skills, a deep understanding of distributed systems, distributed storage & compute systems, and distributed systems architecture. You will need excellent communication and planning skills. We also welcome out-of-the-box thinkers who can provide new ideas while strong at executing tasks. Expect to be constantly challenged, improving and evolving for the better. You and other engineers in this team will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications that affect core data science. Expect to be constantly challenged, improving and evolving for the better.
You and other engineers in this team will help advance NVIDIA's capacity to build and deploy leading infrastructure solutions for a broad range of AI-based applications that affect core data science.
What you'll be doing:
-
Great opportunity to join the core group at NVIDIA working on AI infrastructure.
-
Work with senior architect / engineers to build scalable and distributed services that will help power the AI infrastructure for deep learning platforms.
-
Collaborate with multiple AI teams to understand their requirements and build a platform infrastructure that improves productivity.
What we need to see:
-
Pursuing Masters in Computer Science, Electrical Engineering or related field
-
A specialist programmer in Java, Go and/or C/C++.
-
Experience in distributed systems design and development.
-
Experience with distributed computing and storage, including experience with most of the following: server systems, storage, I/O, networking, and systems software.
-
Highly motivated with strong interpersonal skills, you have the ability to work successfully with multi-functional teams, principles and architects.
Ways to stand out from the crowd:
-
Background with Distributed Systems.
-
Experience with Dask, Apache Spark, Apache Beam is plus.
-
A go getter attitude to investigate and understand technical requirements for open-ended problems.
The hourly rate for our interns is 18 USD - 71 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 Intern benefits. 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.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
