Distributed Systems Engineering Intern
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Job Description
About the Company:
NVIDIA, a leading technology company, is seeking Distributed Systems Engineering Interns to contribute to the architecture, development, and implementation of scalable AI infrastructure and deep learning platforms. The company emphasizes a collaborative environment where interns will work with senior engineers and architects to advance NVIDIA’s capacity for building and deploying leading infrastructure solutions for a broad range of AI-based applications impacting core data science. NVIDIA is committed to fostering a diverse and inclusive workplace.
Job Description:
This internship provides a unique opportunity to join NVIDIA’s core AI infrastructure team. Interns will:
• Work with senior engineers and architects: To build scalable and distributed services powering AI infrastructure for deep learning platforms.
• Collaborate with multiple AI teams: To understand their requirements and develop platform infrastructure enhancements that improve overall productivity.
• Develop strong programming skills: Focusing on Java, Go, and/or C/C++.
• Leverage expertise in distributed systems: Designing and developing solutions, encompassing distributed computing and storage, server systems, storage, I/O, networking, and systems software.
• Contribute creative solutions: NVIDIA welcomes innovative ideas and approaches to problem-solving.
• Enhance existing skills: Interns will be challenged to continually improve and evolve their technical abilities.
• Work in a fast-paced environment: Expect continuous learning and development within a dynamic team.
Specific responsibilities include: architecting, leading, and developing scalable AI infrastructure and deep learning platforms. This requires a deep understanding of distributed systems, distributed storage & compute systems, and distributed systems architecture. Excellent communication and planning skills are essential.
Compensation: The hourly rate for this internship ranges from $18 USD to $71 USD, depending on factors such as location, year in school, degree, and experience. Intern benefits are also included.
