NVIDIA 2027 New College Graduate: Software Engineering - China

By submitting your resume, you’re expressing interest in one of our 2027 Software Engineering New College Grad roles. We’ll review resumes on an ongoing basis, and a recruiter may reach out if your experience fits one of our many internship opportunities. NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and digital twins is transforming the world's largest industries and profoundly impacting society — from gaming to robotics, self-driving cars to life-saving healthcare, climate change to virtual worlds where we can all connect and create.  We offer an excellent opportunity to expand your career and get hands on experience with one of our industry-leading Software teams. We’re seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.  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)