דרושים Arch Intern Cpu ב-אנבידיה ב-China, Shanghai

What you’ll be doing:

• Develop and test deep learning models for object detection, tracking, and behavior prediction.

• Preprocess and analyze sensor data from LiDAR, radar, and camera systems.

• Collaborate with cross-functional teams on algorithm integration and performance evaluation.

• Support data labeling, simulation, and validation pipelines.

• Document model performance and contribute to internal reports.

What we need to see:

• Enrolled in a Bachelor’s, Master’s, or PhD program in Computer Science, Electrical Engineering, Robotics, or a related field.

• Strong knowledge of Python and libraries such as PyTorch or TensorFlow.

• Familiarity with computer vision, deep learning, and reinforcement learning concepts.

• Experience with autonomous systems, robotics, or simulation tools a plus.

• Internship duration: 10–12 weeks (with potential for extension)

You will be part of global Performance Lab team, improving our capacity to expertly and accurately benchmark state-of-the-art datacenter applications and products. We also work to develop infrastructures and solutions that enhance the team’s ability to gather data through automation and designing efficient processes for testing a wide variety of applications and hardware. The data that we collect drives marketing/sales collaterals as well as engineering studies for future products. You will have the opportunity to work with multi-functional teams and in a dynamic environment where multiple projects will be active at once and priorities may shift frequently.

What you’ll be doing:

• Benchmark, profile, and analyze the performance of AI workloads specifically tailored for large-scale LLM training and inference, as well as High-Performance Computing (HPC) on NVIDIA supercomputers and distributed systems.

• Aggregate and produce written reports with the testing data for internal sales, marketing, SW, and HW teams.

• Develop Python scripts to automate the testing of various applications.

• Collaborate with internal teams to debug and improve performance issues.

• Assist with the development of tools and processes that improve our ability to perform automated testing.

• Setup and configure systems with appropriate hardware and software to run benchmarks.

What we need to see:

• Currently pursuing a bachelor's degree (or higher) in Computer Science, Electrical Engineering, or a related field.

• Experienced in programming and debugging with scripting languages such as Python or Unix shell.

• Strong data analysis skills and the ability to summarize findings in a written report.

• Hands-on experience with Linux based systems. Familiarity using a container platform such as Docker or Singularity. Experience with compiling and running software from source code.

• Good English verbal and written skills to improve collaboration with coworkers.

• Fast and self-learning capabilities.

Ways to stand out from the crowd:

• Experience with CI/CD pipelines and modern DevOps practices. Familiar with cloud provisioning and scheduling tools (Kubernetes, SLURM).

• Curiosity about GPUs, TPUs, cloud and performance benchmarking.

• Familiar with ML/DL techniques, algorithms and frameworks like TensorFlow or PyTorch. Experience in AI model inference deployment and training launching.

• Background of system-level problem solving.

What you’ll be doing:

• Research, design, and develop architecture solutions of NVIDIA’s accelerating processor
• Work on Deep-Learning architecture, algorithms, and software development
• Developfunction/performance/powermodels for NVDLA
• Co-work with other teams to deliver high quality Deep-Learning processors

What we need to see:

• MS degree from EE/CS or related majors from a prestigious university.
• Experience in C/C++/Python/SystemC
• Proficient in English reading and writing.
• Self-motivated, good teammate.

Ways to stand out from the crowd:

• Ability to work independently as well as in a multi-disciplinary group environment
• Mastery in Compute Vision, Processor architecture, Pattern recognition/machine learning is a plus
• Hardware design or Deep Learning background is a plus.

What you’ll be doing:

• Algorithm and architecture study of display solutions
• Modeling of Display IP

What we need to see:

• Pursuing Master candidate in EE/CS or related field
• Basic C/C++ knowledge is a must

Ways to stand out from the crowd:

• Quick learner, willing to take challenges in a new field
• DP/HDMI background is a plus
• Digital circuit knowledge is a plus

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

• Collaborating with a top-tier team to improve and refine 3D and 4D reconstruction algorithms.

• Engaging in the refinement of computer vision models, with a specific emphasis on 3D GS reconstruction and integrating feed-forward models.

• Conducting research and experiments to push the boundaries of computer vision and AI.

• Analyzing and interpreting complex data to determine effective solutions and improvements.

• Using the 3D reconstruction results to accelerate AV (autonomous vehicle) simulation and development.

• Sharing your findings and contributions with both technical and non-technical collaborators, helping to build the strategic direction of our projects.

• Currently pursuing or recently completed a PhD or equivalent experience in Computer Science, Engineering, or a related field.

• Proven mastery in computer vision, specifically in 3D GS reconstruction and 4D reconstruction.

• Strong programming skills in languages such as Python, C++, or similar.

• Solid understanding of feed-forward models and their applications.

• Outstanding problem-solving abilities and a passion for innovation.

• Ability to work collaboratively in a diverse team environment and effectively communicate complex ideas.

What you'll be doing:

As a valued member of the team, you will be involved in the technical design and implementation of numerous features working in an agile environment. In this role you can expect to:

• Create developer tools features for NVIDIA GPUs that enables developers to quickly iterate on optimizations to build fast graphics applications.

• Write fast, effective, maintainable, reliable and well documented code.

• Effectively estimate and prioritize tasks in order to build a realistic delivery schedule.

• Provide peer reviews to other engineers including feedback on performance, scalability and correctness.

• Drive technology discussions and provide valuable feedback about the architecture as a domain expert.

• Document requirements and designs, and review documents with stakeholders.

• Demonstrate growth in technical and non-technical abilities.

• Meet with the QA Department to develop a test plan for new features.

What we need to see:

• Pursuing BS or MS degree in one of the areas of Electrical Engineering, Computer Engineering, Computer Science.

• Excellent C++ programming skills and ability to articulate key aspects of Object-Oriented Programming.

• Proficient in at least one graphics programming API such as Direct3D, OpenGL and Vulkan.

• Able to work effectively with a team of engineers in a fast paced and dynamic environment.

• Excellent written and verbal communication skills.

• Able to estimate effectively to ensure delivery of software on time.

Ways to stand out from the crowd:

• Knowledge of 3D Graphics Algorithms and GPU Architectures.

• Strong grasp of heterogeneous computing, multithreading and a deep understanding of streaming multiprocessors, warp scheduling etc...

• Experience with GPU low-level performance tuning/optimization, including profiling and debugging.

• Solid understanding of User Experience (UX) design, GUI development and the Qt framework is a huge plus.

What You Will Be Doing:

• Understand, modify, and improve an NVIDIA proprietary GPU compiler and assembler written in C++

• Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools

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

• Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages

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 and maintainable solutions to challenging problems

• Good communication and documentation skills and self-motivated

Ways To Stand Out From The Crowd:

• Masters or PhD preferred, with some compiler code generation experience

• Experience in developing CUDA, DirectX, OpenGL/Vulkan applications

• Experience in performance analysis and compile time analysis tools

• Exposure to various ML techniques