דרושים System Software Engineer Intern - Autonomous Vehicles Platform 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

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.