We Love AI JobsNVIDIA 2027 New College Graduate: Software Engineering - China
NVIDIAThis new-graduate hiring pool spans software work in development tools, cloud storage, tools infrastructure, and machine-learning operations. Depending on placement, the work may include building infrastructure for deep-learning training, inference, or analytics.
Skills & Expertise
Key Responsibilities
Develop and troubleshoot software and infrastructure tools across cloud, development, and machine-learning operations teams.
Automate storage and data platform infrastructure and support cloud storage architecture.
Build validation and training infrastructure for deep-learning workloads and accelerated inference.
Full Description
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)