24 hours ago
Hsinchu, Taiwan or Taipei, TaiwanIntern
Responsibilities
- Develop and debug system software across pre-silicon simulation, emulation, and physical hardware environments.
- Support simulator, emulator, and platform bring-up; chip-level firmware development; integration; and validation.
- Apply GenAI techniques and tools to improve evidence retrieval, debug triage, root-cause analysis, and other engineering workflows.
- Validate AI-generated results against authoritative engineering evidence.
- Collaborate with senior engineers and global teams and produce technical documentation.
- Analyze logs, traces, failures, and hardware-software interactions, and potentially build debug tools, test infrastructure, workflow automation, APIs, or developer productivity solutions.
Requirements
- Currently pursuing or holding an MS in Computer Science, Computer Engineering, Electrical Engineering, Systems Engineering, or a related software or hardware engineering major.
- Strong programming skills in C and working knowledge of Python or another scripting language.
- Solid understanding of embedded systems, computer architecture, and ARM-based platforms.
- Practical familiarity with modern GenAI concepts and tools, including the ability to critically evaluate AI-generated results against engineering evidence.
- Ability to independently break down ambiguous and complex engineering problems into manageable, testable tasks.
- Strong written and verbal English communication skills and ability to collaborate across global teams.
- System-level debugging and problem-solving experience, including analysis of logs, traces, failures, and complex hardware-software interactions, is a preferred qualification.
- Experience with pre-silicon simulation or emulation, platform bring-up, chip firmware, device drivers, post-silicon debugging, debug tools, test infrastructure, workflow automation, APIs, or developer productivity solutions is preferred.
- Understanding of GenAI evaluation, evidence grounding, data provenance, observability, and failure analysis is preferred.
Benefits
- This is an internship opportunity in NVIDIA’s 2027 RDSS (Research and Development Substitute Services) program.
- Applicants should confirm eligibility with the local district office before applying.
- Reasonable accommodations are available for individuals with disabilities during the application, interview, and employment process.
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.