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Nvidia NVIDIA Internships Software Engineering - 
China, Shanghai 
288259104

Yesterday
China, Shanghai
China, Beijing
China, Shenzhen
time type
Full time
posted on
Posted Yesterday
job requisition id

your resume,expressing interest in one of our 202Software Engineering Internships.review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities.

society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.

Development Tools

  • Debugging complex system-level issues using Jenkins

  • Course or internship experience related to the following areas could berequired: Relational Databases, Linear Algebra & Numerical Methods, Operating Systems (memory/resource management), Scheduling and Process Control, Hardware Virtualization

Cloud

  • Supporting overall architecture and design of our cloud storage infrastructure

  • Implementing and troubleshooting storage and data platform tools, automating storage infrastructure end-to-end

  • Course or internship experience related to the following areas could berequired: Distributed Systems, Data Structures & Algorithms, Virtualization,Automation/Scripting,Container & Cluster Management, Debugging

Tools Infrastructure

  • 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

  • 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)

Machine Learning Operations

  • Deep Learning, GPU Computing, Accelerated Computing

  • Validation Frameworks for Deep Learning, Deep Learning FrameworksandLibraries (NumPy, SciPy,cuBLAS,cuDNN

  • Data Preprocessing, Training Acceleration (CUDA,cuDNN, NCCL), Convolution Operations (cuDNN), Real-Time Inference (TensorRT

  • Building Infrastructure forBack-EndA


What we need to see:

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.

include the following programming skills and technologies:

  • Java, JavaScript, (including Node, React, Vue), SQL,C,C++, CUDA, OOP, Go, Python, Git, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)