NVIDIA 2027 New College Graduate: Software Engineering - China

NVIDIA is seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve. We offer an excellent opportunity to expand your career and get hands-on experience with one of our industry-leading Software teams.

Potential NCG opportunity in this field include:

Development Tools

• Debugging complex system-level issues using Jenkins
• 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

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 be required: 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 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

What we need to see:

• Expected to graduate in 2027 with a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field
• Depending on the internship role, prior experience or knowledge requirements could include the following programming skills and technologies:
• C, C++, CUDA, Python, Java, JavaScript, (including Node, React, Vue), SQL, OOP, Go, Git, Perforce, Kubernetes and Microservices, Schedulers (LSF, SLURM), Containers (Docker), Configuration Automation (Ansible)