דרושים Ai Automation Tools Development Engineering Intern - ב-אנבידיה ב-China, Shanghai

What you’ll be doing:

• Be responsible for running test cases to validate NVIDIA GPU Communications Libraries (NCCL, NVSHMEM, UCX, GDRCopy, GPUDirect RDMA etc).

• Be responsible to automate test cases and maintain the automation scripts.

• Collaborate with Developer, PM, marketing, and engineering teams on crafting test plan and implementing validation.

• You will assist in the architecture, crafting and implementing of SWQA test frameworks.

• Be responsible for code coverage improvement and code complexity optimization.

What we need to see:

• BS or higher degree in CS/EE/CE or equivalent experience

• 5+ years of relevant experience

• Seasoned software QA or software testing background; test infrastructure and strong analysis skills

• Be proficient in scripting language (Python, Perl, bash)

• Solid experience with AI development tools for test development and automation

• Knowledge of basic networking concepts

• UNIX/Linux experience is required

• Experiences in C/C++ is required

• Ability to work independently and leadership skillsas well as experience in using quality mindset to drive improvements

• Proficient oral and written English

Ways to stand out from the crowd:

• Experience with CUDA programming and NVIDIA GPUs

• Knowledge of high-performance networks like InfiniBand, RoCE,etc

• Experience with CSPs(AWS, Google Cloud, Oracle Cloud Infrastructure, Microsoft Azure), andHPC cluster,slurm, ansible, etc

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

• Experience with Deep Learning Frameworks such as PyTorch, TensorFlow, etc

What you will be doing:

• Design and implementfunctional/performancetests for CUDA products, like driver and library.

• Automate CUDA tests, design test plans and integrate into automation testinginfrastructure.

• Triage test results, root cause test failures or performance drops, and drive through bugs to fix.

• Develop scripts/tools and optimize workflow to improve efficiency and productivity.

What we need to see:

• MS or PhD degree from a leading university in computer science or a related field.

• At least 3 years of relevant professional experience.

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

• Rich experience in test case development, tests automation and failure analysis.

• Proficient programming and debugging skills in C/C++ and Python.

• Comprehensive knowledge of Linux and Windows operating systems.

• Experience in using AI development tools for test plans creation, test cases development and test cases automation.

Ways to stand out from the crowd:

• Excellent English communication and collaboration skills.

• Strong understanding of CUDA, HPC, Gcov, VectorCAST, Coverity.

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.

Intelligent machines powered by AI computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error. This is truly an extraordinary time — the era of AI has begun. Image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films.

What you will be doing:

• Study and develop cutting-edge techniques in deep learning, graphs, machine learning, and data analytics, and perform in-depth analysis and optimization to ensure the best possible performance on current- and next-generation GPU architectures.

• Work directly with key customers to understand the current and future problems they are solving and provide the best AI solutions using GPUs.

• Collaborate closely with the architecture, research, libraries, tools, and system software teams at NVIDIA to influence the design of next-generation architectures, software platforms, and programming models.

• Some travel is required for conferences and for on-site visits with customers.

What we need to see:

• A degree from a leading university in an engineering or computer science related discipline (BS; MS or PhD preferred) or equivalent experience

• Strong knowledge of C/C++, software design, programming techniques, or AI algorithms

• Strong verbal and written communication skills in English and organization skills, with a logical approach to problem solving, time management, and task prioritization skills

What you’ll be doing:

• Lead, mentor, and grow a high-performing team of applied research engineers focused on humanoid loco-manipulation and mobile manipulation.

• Drive the definition, planning, and execution of projects involving foundation models (GR00T, Cosmos), Isaac Lab, and Newton workflows.

• Guide the team in advancing robot learning technologies and synthetic data generation from human video datasets.

• Hands-on design, implementation, and deployment of novel algorithms for humanoid robot locomotion and manipulation in simulation and real-world environments.

• Ensure seamless integration of applied research outputs with NVIDIA’s advanced robotics platforms.

• Foster a culture of innovation and collaboration, supporting deliverables such as prototypes, open source software contributions, patents, and publications in top conferences and journals.

• Collaborate cross-functionally with product, hardware, and software teams to translate research into impactful products.

• Support career development, performance management, and recruitment of top talent.

What we need to see:

• Advanced degree (PhD or Master’s) in Computer Science, Robotics, or a related field.

• 2 years of experience on technical leadership or team management in robotics, autonomous driving, machine learning, or related domains.

• Strong hands-on programming skills in Python and C++; experience with deep learning frameworks (PyTorch, JAX, TensorFlow) and physics simulation tools (Isaac Sim/Lab, MuJoCo).

• Excellent communication, organizational, and interpersonal skills.

• Experience with large-scale model training on GPU clusters.

• Hands-on experience on robotics simulation, sim-to-real and real-to-sim transfer.

• 5+ overall years of experience working on robotics technologies.

Ways to stand out from the crowd:

• Leadership in projects involving foundation models for robotics, includingVision-Language-Action(VLA) or Vision-Language Models (VLM).

• Experience with learning from human video demonstrations and human-object reconstruction.

• Expertise in humanoid loco-manipulation, encompassing whole-body control, dexterous and bimanual manipulation, and locomotion.

• Advanced knowledge in robot learning and reasoning, including imitation and reinforcement learning.

• Experience generating synthetic data for robotics applications.