Enterprise Support Intern (Start ASAP)

Your Role

Key responsibilities as follows:

• Manage and optimize GPU servers and clusters for AI and HPC workloads.
• Configure DGX/SuperPod systems to enhance deep learning models.
• Oversee data transfer and networking for efficient GPU communication.
• Implement virtualization with Docker in Kubernetes environments.
• Collaborate with industry experts to innovate and solve complex problems.

About You

Ideal candidates will have:

• Pursuing a BS or higher in Computer Science, Computer Engineering, Electrical Engineering, or related fields.
• Strong skills in system software engineering, programming, and debugging in Python, C, and C++.
• Understanding of operating system internals and embedded systems.
• Excellent English communication skills for global collaboration.
• Ability to work independently and as part of a team.
• Expertise in at least two areas: cluster management, GPU computing, deep learning frameworks, data storage, performance tuning, networking technology, fault tolerance, or Linux systems.

Benefits

• NVIDIA offers competitive salaries, comprehensive healthcare, and a benefits package designed to support you and your family.

Training & Development

Opportunities for professional growth through mentorship and continuous learning in a dynamic tech environment.

Career Progression

Potential for career advancement in AI and computing technologies, with growth opportunities in leadership and specialized technical roles.

How to Apply

Submit your application with a resume and cover letter detailing your relevant experience and interest in the role.