Description
NVIDIA offers a summer internship program for Ph.D. students in engineering. As an intern, you will work on cutting-edge projects with industry-leading teams.
Job Description: Design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems. Collaborate with team members, teams, and external researchers. Transfer research to product groups to enable new products or types of products.
Requirements: Must be 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 is required. Strong background in research with publications at top conferences. Excellent communication and collaboration skills.
Potential Internship Areas: 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 - $94 Intern benefits