NVIDIA 2027 New College Graduate: Software Engineering - China

NVIDIA is hiring a NVIDIA 2027 New College Graduate: Software Engineering - China in Shanghai, China. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
Tools and skills the posting cites include Jenkins, Linux and Java.
Level classifies it as a junior role.
Level lists 2,700+ other open roles at NVIDIA.

AI in this role

Software engineering new college graduate role supporting various technical domains including development tools, cloud, infrastructure, and machine learning operations.

JenkinsLinuxJavaJavaScriptCCUDAGoPythonGitGitLabPerforceKubernetes+4

software-engineeringcloud-infrastructuredeep-learningdebugging

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)

How we rate this

NVIDIA 2027 New College Graduate: Software Engineering - China at NVIDIA rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

NVIDIA 2027 New College Graduate: Software Engineering - China is an open job at NVIDIA.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in China, Shanghai.
The job was posted on August 21, 2026.
Seniority: junior.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Software EngineeringCloud InfrastructureDeep learningDebuggingJenkinsLinuxJavaJavaScript

Questions you could be asked

Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where cloud infrastructure was part of your work. What did you do?
Tell me about a project where deep learning was part of your work. What did you do?
Tell me about a project where debugging was part of your work. What did you do?
Walk me through how you've used Jenkins in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Software Engineering, Cloud Infrastructure, Deep learning, Debugging, and Jenkins. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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