NVIDIA · 1 day ago
NVIDIA 2026 Internships: Software Engineering - US
United States
Full-time
Remote
New GradNVIDIA is a leader in accelerated computing and is looking for interns to join their Software Engineering teams. Interns will work on impactful projects in areas such as cloud storage infrastructure, debugging, and machine learning operations.
AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
Responsibilities
Debugging complex system-level issues using Jenkins
Supporting overall architecture and design of our cloud storage infrastructure
Implementing and troubleshooting storage and data platform tools, automating storage infrastructure end-to-end
Building industry leading technology by proving workflows and infrastructure, alongside a team of experts in production software development and chip design methodologies
Enabling success for content running on the chip from application tracing and analysis to modeling, diagnostics, performance tuning, and debugging
Deep Learning, GPU Computing, Accelerated Computing
Validation Frameworks for Deep Learning, Deep Learning Frameworks and Libraries (NumPy, SciPy, cuBLAS , cuDNN)
Data Preprocessing, Training Acceleration (CUDA, cuDNN , NCCL), Convolution Operations (cuDNN), Real-Time Inference (TensorRT)
Building Infrastructure for Back-End Analytics
Qualification
Required
Must be actively enrolled in a university pursuing a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field, for the entire duration of the internship
Course or internship experience related to the following areas could be required: Relational Databases, Linear Algebra & Numerical Methods, Operating Systems (memory/resource management), Scheduling and Process Control, Hardware Virtualization
Course or internship experience related to the following areas could be required: Distributed Systems, Data Structures & Algorithms, Virtualization, Automation/Scripting, Container & Cluster Management, Debugging
Course or internship experience related to the following areas and technologies could be required: Unix/Shell Scripting, Linux, Java, JavaScript (including Node, React, Vue), C++, CUDA, OOP, Go, Python, Git, GitLab, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)
Deep Learning, GPU Computing, Accelerated Computing
Validation Frameworks for Deep Learning, Deep Learning Frameworks and Libraries (NumPy, SciPy, cuBLAS, cuDNN)
Data Preprocessing, Training Acceleration (CUDA, cuDNN, NCCL), Convolution Operations (cuDNN), Real-Time Inference (TensorRT)
Building Infrastructure for Back-End Analytics
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
Business Insider
2026-01-09
Business Insider
2026-01-09
Company data provided by crunchbase