2 months ago
Taipei, TaiwanIntern
Responsibilities
- Develop and enhance system software diagnostics for GPU platforms, including power, thermal, memory, PCIe, NVLink, and system-level validation.
- Build stress tests, validation utilities, and automation with pass/fail criteria, structured logs, telemetry, and error codes.
- Collaborate with hardware and firmware teams on L6, L10, and L11 tests and integrate diagnostics into manufacturing and validation flows.
- Investigate hardware, firmware, and software failures by analyzing logs and platform behavior to identify root causes.
- Improve tools, documentation, and workflows for bring-up, regression, and production validation.
Requirements
- Pursuing a Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related technical field.
- Project, research, or coursework experience in system software, platform validation, diagnostics, embedded software, or low-level Linux development.
- Strong programming skills in C, C++, or Python, with solid algorithms and data structures fundamentals.
- Familiarity with Linux-based development, scripting, debugging, and log analysis for hardware-adjacent software.
- Understanding of computer architecture and operating system fundamentals.
- Preferred experience with validation tools, factory-style test flows, lab automation, datacenter system bring-up, structured logging, telemetry, automated triage, server architecture, PCIe, accelerator systems, or high-speed interconnects.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.