דרושים Senior Manager Hardware Engineering 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)

What you'll be doing:

• Working with customers, partners, and IP vendors to understand SOC/IP solutions best suited for the target use cases and work with them to select and integrate appropriate IP/SOC solutions.

• Work with Architects, Chip Leads, and Customers on SOC/IP design, development, timing closure, power analysis, methodology alignment, and program execution to ensure pre-silicon and post-silicon targets are met.

• Integrating, evolving, and optimizing IP blocks across a range of products and use cases for

  NVIDIA
  SoCs in AI, driving, 6G, cloud, gaming, and other applications.

• Working with teams throughout the company (Architects, RTL, PD, Circuit, SI, Thermal, SW, Platform, Operations, Marketing, etc...) on implementing cross-team solutions to achieve project targets.

• Drive cross-team methodologies for external soft IP and PHY integration, Nvidia IP release to partner, RTL development and microarchitecture.

What we need to see:

• B.S. or M.S. in Computer Engineering or Electrical Engineering (or equivalent experience)

• 9+ years of relevant work experience in RTL development focused on CPU

  , GPU,
  and high-performance architectures.

• Proficiency in industry-standard RTL development and synthesis tools.

• Experience developing high-speed digital blocks.

• Experience debugging complex microarchitectural structures

• Strong interpersonal, communication, and teamwork skills.

• A drive to continuously learn and expand architectural breadth and depth.

• Ability to evaluate microarchitectural options for tradeoffs across design, verification, and PD.

• Experience interconnecting and analyzing complex microarchitectural structures and subsystems.

Ways to stand out from the crowd:

• Cross-cultural work and study experience

• Experience in ARM-based SOC definition and development

• Background in partner and customer engagement for usecase/chip solution.

• Experience in some of domains, SOC clock implementation, power structure insertion, DFT, synthesis, place and route and STA.

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’ll be doing:

• Design and Implement API tests for CUDA driver and library.

• Automate CUDA tests, design test plan and enable them in automation testing infrastructure.

• Triage test results, isolate test failures and improve test coverage.

What we need to see:

• Can work 4 days a week for at least 1 year

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

• Familiar with programming and debugging skills with C/C++ and Python.

• Interested in test cases development, tests automation and failure analysis.

• Experience using AI development tools to improve quality and productivity across the end-to-end QA workflow.

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

Ways to stand out from the crowd:

• Strong English communication and collaboration skills.

• Familiar with parallel programming, ideally CUDA C/C++, is a plus.

• Background with Bullyseye, Gcov or other dev tool is a plus.

NVIDIA SOC System-ASIC team is hiring a verification engineer. In this role, you will work closely with Arch, design and verification engineers to thoroughly verify some top-level related control units (like: Fuse/Floorsweep, Strap, Reset, Sysctrl) and some silicon measurement related units from unit-level to fullchip-level. Those units are important IPs used in both NVIDIA GPU and Tegra products.

What you’ll be doing:

• Micro-architecture definition for System-level modules (Fuse, Strap, Floorsweep, In-silicon measurement, Reset, Sysctrl, etc...)

• Unit-level and System-level verification for System-level modules.

• Own some NVIDIA internal checks to guarantee the design quality.

What we need to see:

• BS / MS or equivalent experience in electrical / computer engineering and related.

• Above 5 years of ASIC design/verification experience.

• Familiar with verification methodology, tools and flow.

• Understand frontend ASIC design flow including RTL design, synthesis and timing analysis.

• Excellent analytical and problem-solving skills.

• Fluent English (both written and spoken) and excellent communication skills.

• Good team work spirit, easy to cooperate with team members.

Ways to stand out from the crowd:

• Broad knowledge with Video techniques, SOC architecture and Computer architecture is a big plus.

• Strong programming skills in C/C++, SystemVerilog, Perl and Python is appreciated as a plus.

What you’ll be doing:

• Candidate will create, tune, run and analyze graphics and systems benchmarks on PCs, workstations and laptops. Tasks may include some scripting to automate current test processes and benchmarks for improved efficiency.

• Candidate may also need to configure computer systems with appropriate hardware and software to run benchmarks on various systems. They would run benchmarks on these systems.

• Candidate would analyze results from benchmark runs and create reports to position NVIDIA products appropriately using their evaluation.

What we need to see:

• Pursuing BS in Computer Science or similar computer discipline

• Working knowledge of all Windows operating systems

• Linux and Windows knowledge.

• Good knowledge of PC systems and components.

• Good organizational, time management and task prioritization skills.

Ways to stand out from the crowd:

• Knowledge of C, C++, Perl, OpenGL, Direct X and D3D.

• Good knowledge of NVIDIA Products.

• Familiarity with Linux is a plus.

• Background with Android application is a plus.

• Familiar with Physical AI is a plus.

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