Perf Analyst Intern jobs at Nvidia in China, Shanghai

for an exciting and fun role in our, which covers the areas over runtime, compiler optimization, code generation, CPU pipeline analysis and etc.

What you'll be doing:

• Work on feature enablement and optimization of open source Java virtual machine projects.

• Partner with both internal and communities to develop, valid and upstream patches.

• Work with global compiler, hardware and application teams to oversee improvements and problem resolutions.

• Drive and push architecture neutral and NV friendly solutions in the communities.

• Be flexible, with a variety of software development skills and extend the breadth and depth of knowledge.

What we need to see:

• Pursuing B.S. or higher degree in Computer Science/Engineering

• Excellent hands-on C++ programming skills

• Strong background in software engineering principles with a focus on crafting robust andmaintainable solutions to challenging problems

• Good communication and documentation skills and self-motivated

Ways to stand out from the crowd:

• Masters or PhD preferred, with compiler or language virtual machine experiences

• Background with Java and understand the key language features

• Familiar with Linux and shell programming

• Knowledge on computer architecture, ISA, assembly, and Arm64 is preferred

• Exposure to various ML techniques

What you’ll be doing:

• Develop algorithms to exercise various parts of the GPU pipeline to verify our performance metrics.

• Deeply dive into NVIDIA GPU architecture and software stack, develop new feature for NVIDIA GPU performance profiling tools.

• Write unit and integration tests to verify the functionality, performance, stability, resource usage of our products.

What we need to see:

• Pursuing a Master's degree major in CS/SE.

• Proficiency in C/C++, object oriented programming.

• Proficiency in written and spoken English.

Ways to stand out from the crowd:

• OpenGL, GLES, Direct3D, Vulkan, CUDA, OpenCL, console graphics APIs.

• Experience of driver development.

• Background with software development for embedded systems.

What you’ll be doing:

• Apply Machine Learning, Deep Learning techniques to overcome QA and Automation challenges for different NVIDIA Product lines

• Maintain and optimize new and existing automated tests with AI solution

• Design, implement and augment existing test frameworks with AI automation tools to reduce manual development efforts and make the current automation framework more productive and smart

• Work closely and collaboratively with other development and QA teams to gather automation requirements and review automation design

What we need to see:

• Pursuing Master or higher degree in computer science or electrical engineering with strong academics

• Good programming skills in python, proficient in applying OOP concepts and Data structures

• Good experience with using AI development tools for test plan creation, automation framework and test case development

• Have experience on using Cursor, MCP, Coderabbit for script generation/review

• Hands on experience in solving complex problems using AI technology or tools such as RAG, LLM/vLLM and AIGC

• Experience with large or complex applications and knowledge of code optimization and manipulation

• Demonstrates excellent communication skills, maintains a strong sense of initiative and motivation, and consistently upholds high standards for software quality

• Ability to work closely & collaboratively with other Development & QA teams especially across geographies

Ways to stand out from the crowd:

• Programming skills in C# is a plus

• Knowledge of Linux, Mac and Android is a plus

• Experience on Machine Learning Frameworks like Pytorch, Keras with TensorFlow, ONNX , and TensorRT is a plus

• Background of RL(Reinforce learning), or Meta-learning, or Life-long learning is a plus.

• Knowledge of SQL/NoSQL Database is plus

What you'll be doing:
• Work on research, design and implementation of software features that are beneficial to our customers to meet their performance targets and build unique values

• World model and nvidia cosmos related development and bug fixes

• Develop solutions for DNN models acceleration optimization and deployment.

What we need to see:
• Subject to arrangement to different works at any time to take on different tasks and challenges

• Self-motivated attitude and motivation to make things success, intent to learn

• BS/MS degree in Computer Science/EE or related

• Proven fundamentals in c++/python programming and SW design and debug skills

• Abundant knowledge of ML/DL techniques for Computer Vision and autonomous driving

• Believe that experimenting is the only way to find the truth, not argument and arbitary guess

• Located in Shanghai or willing to work in Shanghai

Ways to stand out from the crowd:
• DNN development and network acceleration is highly desired

• Familiarity with GPU computing/NVIDIA CUDA/NVIDIA TensorRT

What you’ll be doing:

• Be responsible for executing test cases to validate NVIDIA enterprise offerings, such as BlueField DPU/NIC

• Automate test cases and maintain the automation scripts.

• Work with development teams to triage issues, root cause analysis, verify fixes, define new tests, and improve test plans.

What we need to see:

• Currently pursuing a MS or higher degree in CS/EE.

• Good experience using AI development tools

• Fluent oral and written English.

• Comfortable working with Linux OS.

• Good at shell/python programming skills.

• Good QA sense, knowledge, and experience in software testing.

• Great problem-solving skills with strong interpersonal skills, quick learner, proactive, innovative, and committed.

• Strongly self-motivated with a passion to learn new hardcore technology.

• Able to work 5 days every week with at least 12 months available.

Ways to stand out from the crowd:

• Experienceworking with switch, router, NIC is a plus

• Experience with virtualization technologies (Docker, KVM, HyperV, VMWARE, OpenStack, Kubernetes)

• Scripting skills and experience: Linux, Shell / Python

• Coding with cursor

What you’ll be doing:

• Analyze state of the art DL networks (LLM etc.), identify and prototype performance opportunities to influence SW and Architecture team for NVIDIA's current and next gen inference products.

• Develop analytical models for the state of the art deep learning networks and algorithm to innovate processor and system architectures design for performance and efficiency.

• Specify hardware/software configurations and metrics to analyze performance, power, and accuracy in existing and future uni-processor and multiprocessor configurations.

• Collaborate across the company to guide the direction of next-gen deep learning HW/SW by working with architecture, software, and product teams.

What we need to see:

• BS or higher degree in a relevant technical field (CS, EE, CE, Math, etc.).

• Strong programming skills in Python, C, C++.

• Strong background in computer architecture.

• Experience with performance modeling, architecture simulation, profiling, and analysis.

• Prior experience with LLM or generative AI algorithms.

Ways to stand out from the crowd:

• GPU Computing and parallel programming models such as CUDA and OpenCL.

• Architecture of or workload analysis on other deep learning accelerators.

• Deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, TensorRT-LLM, vLLM, etc.).

• Open-sourceAIcompilers (OpenAI Triton, MLIR, TVM, XLA, etc.).