Post Silicon Validation Intern - 2027
China, ShanghaiPosted Sep 5, 2026
Overview
- Added in 30 days
- 647
- At this company, still open
Skills named in this posting
- PCIe
- CXL
- UCIe / chiplets
- USB
- Python
- Perl
NVIDIA's GPUs and SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions in a wide range of sectors. We are seeking low power feature engineers who are passionate about what they do and are committed to making a difference in the world through their inventions. As part of the Silicon Co-design Group, we are responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions.
What you will be doing:
• Work proactively on GPU/SOC new low power feature, High Speed IO, PLL Clock innovation feature bring-up and characterization of next generation of GPU and SOC in post-silicon, including creating validation methodologies, develop proper test plan and test cases, and execution.
• Perform system level use case analysis/profiling and new feature return-on-investment investigations, prototype and validation, design methods and control policies to bring the new technology into production and transcend product goals.
• Design tools/script to automate product definitions, data collection, test case execution, and results analysis. Provide detailed data analysis of functionality, performance, and latency.
• Debug and troubleshoot system level issues related to low power feature, high Speed IO, PLL/Clock etc.
What we need to see:
• Pursuing Master’s degree in Microelectronics/Electronic Engineering/Computer and Related Professionals.
• Knowledgeable in MOSFETs, digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications.
• Hands-on lab experience with lab equipment (oscilloscopes, multimeters, DAQ).
• Script experience with Perl, Python.
• Experience with using AI agent tools for script development, data analysis to improve efficiency.
• Excellent communication and fast learning skills.
• Excellent problem solving, collaborative, and interpersonal skills.
• Knowledge in Low Power Design, High Speed IO (PCIE, USB, UFS, CXL, UCIE etc), Clock/PLL is a big plus.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working with us. If you're creative and autonomous, we want to hear from you!
Apply on the employer's site
Original posting: jobs.nvidia.com
RISC-V ecosystem
NVIDIA Corporation in the RISC-V ecosystem
RISC-V International: Premier Board
Founded in 1993, NVIDIA is an AI computing company. The company is headquartered in Santa Clara, California.
- NVIDIA is bringing CUDA platform support to RISC-V, i.e. allowing a RISC-V CPU to host CUDA GPU applications
- Publicly credited the RVA23 profile as the enabler: "We wouldn't have considered porting CUDA to RISC-V without it"
- Active in RISC-V International profile/standards work and a frequent presence in RISC-V ecosystem coverage
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