Ph.D. Research Computer Architecture and Systems Intern

NVIDIA is seeking strategic, ambitious, hard-working, collaborative, and creative individuals for a Ph.D. Research Internship in Computer Architecture and Systems.

The internship offers hands-on experience with one of NVIDIA's industry-leading Computer Architecture and Systems teams.

Responsibilities:

• Design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems.
• Collaborate with other team members, teams, and/or external researchers.
• Transfer research to product groups to enable new products or types of products.

Requirements:

• Actively enrolled in a Ph.D. program in Computer Science, Electrical Engineering, or a related field.
• Anticipated graduation date must be clearly indicated on a resume or CV.
• Prior experience or knowledge in programming skills and technologies such as C, C++, Python, CUDA.
• Strong background in research with publications at top conferences.
• Excellent communication and collaboration skills.

Preferred Areas of Research:

• Chip-level and System-level Architecture
• GPU and Multi-GPU Architecture
• Scalable memory systems and new memory technologies
• Scalable on-chip and off-chip interconnects
• Chip-level and system-level scheduling
• Power, performance, and energy-efficiency in large-scale systems
• Specialized accelerators for workloads like AI algorithms, crypto algorithms, databases, etc.
• Hardware-software co-design
• Systems for AI/ML
• Programming Systems
• High-Performance Networking and Interconnects
• VLSI and Electronic Design Automation (EDA)

Benefits:

• Hourly rate: 38 USD - 94 USD
• Intern benefits