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Software CAD Engineer, VLSI (RDSS Intern)

NVIDIA Corporation

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Skills named in this posting

  • DFT
  • C++
  • Python
  • Perl
By submitting your resume, you’re expressing interest in our 2027 RDSS (Research and Development Substitute Services) program. Please confirm your eligibility with the local district office before applying the role. NVIDIA is seeking phenomenal engineers to improve our verification methodology, so we can validate the world’s largest design efficiently. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence.We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing. We are now looking for a DFT Engineer in our Taiwan, Taipei/Hsinchu Office! What you’ll be doing: • Develop in-house software to enable advanced testing on NVIDIA hardware. • Create automation flows to support ATPG and DFT requirements. • Optimize software performance and drive quality improvements. • Collaborate closely with Design, DFT, and Test Engineering teams to ensure test quality, improve efficiency, and support silicon bring-up. What we need to see: • Master’s degree in Electrical Engineering, Computer Engineering, or Computer Science. • Strong programming skills in Python and C++ (required). • Experience with TCL, Perl, Java, or other programming languages is a plus. • Strong communication skills with the ability to work effectively in a team environment. • Fluency in English (spoken and written). Ways to stand out from the crowd: • Knowledge of Design for Testability (DFT) concepts, including Scan, ATPG, and JTAG.

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Original posting: jobs.nvidia.com

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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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