דרושים Senior Software Engineer Dense Reconstruction ב-אנבידיה ב-China, Shanghai

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

• Develop comprehensive test plans and implement them using formal verification tools.

• Create assertions, assumptions, and cover properties to validate design behavior.

• Employ abstraction techniques to manage complexity and achieve verification goals.

• Analyze and debug failures in the RTL design.

• Collaborate with architecture, design, and verification teams to communicate coverage and ensure design quality.

What we need to see:

• BS/MS/PhD in CS, CE, EE, or Mathematics (or equivalent experience)with 3+ years relevant experience

• Strong problem-solving skills and the ability to thrive in a collaborative, distributed team environment.

• Proficiency in scripting languages like TCL, Python, or Perl.

Ways to stand out from the crowd:

• Hands-on experience with formal verification tools such as JasperGold or VC Formal.

• Experience with formal verification methodologies, SystemVerilog, and temporal logic.

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.

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’ll be doing:

• A role in physical design for NVIDIA GPU and Mobile chips.

• Participate in various aspects of physical design, including full chip floorplanning, power/clock distribution, timing optimization, place & route, timing closure, power/signal integrity analysis, and physical verification.

• Troubleshoot a wide variety of design and flow complicated issues, and apply proactive intervention Collaborate with RTL, DFT and Circuit designers to ensure high quality of design implementation.

What we need to see:

• BS in Engineering or Science or equivalent experience.

• Power user of EDA tools from Synopsys(ICC2/FC/PT/STAR-RC),Cadence(EDI/Innovus/Voltus).

• Experience in Clock/Power Distribution, P&R, Timing closure, RC Extraction, and verification on advanced technology nodes.

• 2+ years of experience in above areas.

Ways to stand out from the crowd:

• MS in Engineering or Science.

• Knowledge in FinFET technology, circuit design, and package design.

• Experience in physical verification tools from Synopsys (ICV) or Mentor (Calibre).

• Proficiency in Perl, Python, TCL and Makefile scripts.

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.