NVIDIA · 2 days ago
NVIDIA 2026 Internships: PhD Computer Architecture and Systems Research - US
United States
Full-time
Remote
New Grad
$30/hr - $94/hrNVIDIA is a leader in accelerated computing, transforming industries through AI and digital twins. They are seeking PhD interns to design and implement innovative ideas in computing and systems architectures while collaborating with teams and researchers to advance NVIDIA's technology.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Design and implement novel ideas in GPU and CPU architectures, systems architectures, operating systems, AI systems, and distributed systems that advance computing, graphics, media processing, and related technologies central to NVIDIA's business
Collaborate with other team members, teams, and/or external researchers
Transfer your research to product groups to enable new products or types of products. Deliverable results include prototypes, patents, products, and/or publishing original research
Qualification
Required
Must be actively enrolled in a university pursuing a PhD degree in Computer Science, Electrical Engineering, or a related field, for the entire duration of the internship
Depending on the internship, prior experience or knowledge requirements could include the following programming skills and technologies: C, C++, Python, CUDA
Strong background in research with publications at top conferences
Excellent communication and collaboration skills
Preferred
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
Systems Infrastructure for large LLM training and inference
System/AI algorithms codesign (e.g., for sparsity)
AI/ML for systems (hardware design, code optimization, etc.)
ML for EDA
Programming Systems
GPU-accelerated algorithms
Languages and programming models for parallel computing
Optimizing compilers and AI-based performance assistants
Distributed runtime systems
Systems software and operating system interfaces
Optimizing GPU-accelerated workloads
Compilers and code verification
High-Performance Networking and Interconnects
Large-scale GPU networking
Topologies, routing, and congestion control
Networking techniques at the intersection of scale-out and scale-up
VLSI and Electronic Design Automation (EDA)
GPU Accelerated EDA
Benefits
Intern benefits
Company
NVIDIA
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.
Founded in 1993
10001+ employees
H1B Sponsorship
NVIDIA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)
Funding
Current Stage
Public CompanyTotal Funding
$4.09BKey Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity
Leadership Team
Jensen Huang
Founder and CEO
Michael Kagan
Chief Technology Officer
Recent News
2026-01-11
2026-01-11
Company data provided by crunchbase