דרושים Platform Silicon Validation Tools Intern ב-אנבידיה ב-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:

• Define clear vision and roadmap for productivity efficiency improvement solutions in alignment with business needs, and drive execution from design through delivery.

• Lead cross-function engineering teams on project deliverables commitment to streamline the system design and verification process and workflow.

• Partner with global automation and Infrastructure teams to design, build, and maintain large-scale, cloud-based and on-premises infrastructures.

• Stay hands-on technically, providing architectural guidance on complex infrastructure challenges.

• Cross-function Collaboration with ASIC, SW, System Design, Product, Security, and Operations teams to ensure reliability, scalability, and performance, fostering a culture of technical excellence, collaboration, and ownership.

• Continuously improve processes to ensure efficiency, reliability, and adaptability.

What we need to see:

• MS in EE, CE, CS, or Systems Engineering (or equivalent experience).

• 10+ years of large-scale software development experience and experience in framework architecture design.

• Strong skills in Python, Javascript.

• Experience in HTML5, CSS, NodeJS, or React

• Hands-on experience in AI/ML and data analysis, preferably with exposure to large-scale datasets.

• Good communication and organization skills, with a logical approach to problem-solving, and task prioritization skills.

• Effective experience working with global multi-functional teams, principals, and architects across organizational boundaries.

Ways to stand out from the crowd:

• Knowledge of System Design, CPU and/or GPU architecture.

• Background with large-scale full-stack development.

• Experience with software design flow management or project management.

• Demonstrable knowledge of Elastic Stack (Elasticsearch, Logstash etc) and Kafka.

• Knowledge of telemetry, observability, or monitoring frameworks (e.g., Kibana, Grafana, OpenTelemetry).

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