Nvidia NVIDIA Internships Software Engineering 

United States, California 

379664747

time type

Full time

posted on

Posted 6 Days Ago

job requisition id

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

Throughout the 12-weeklooking for students pursuing Bachelor's, Master's, or PhD degree within a relevant or related field.

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)