DFT Engineer

NVIDIA is seeking a highly motivated DFT Engineer to join our silicon engineering team. In this role, you will work closely with Design, Test, CAD, and Silicon Engineering teams to validate and debug Design-for-Test (DFT) features in some of the industry's most advanced GPUs and SoCs. This position offers an excellent opportunity to learn industry-leading DFT methodologies and contribute to cutting-edge products powering AI, accelerated computing, and next-generation platforms. What you'll be doing • Verify DFT features and test infrastructures, including Scan, MBIST, JTAG, and related functionality. • Collaborate with Design, Integration, CAD, and Test Engineering teams to define verification scope and test strategies. • Execute verification and validation activities at the IP, subsystem, and full-chip levels. • Perform RTL and gate-level debugging to identify and resolve design and test issues. • Generate and validate test patterns and support silicon bring-up and debug activities. • Improve engineering productivity through scripting, automation, and workflow enhancements. • Support verification flow and methodology improvements. What we need to see • 1+ years of experience with an M.S. degree in Electrical Engineering, Electronics Engineering, Microelectronics, IC Design, or a closely related discipline. • Strong understanding of digital circuits, computer architecture, and semiconductor design fundamentals. • Strong analytical, problem-solving, and debugging skills. • Familiarity with RTL simulation and debug tools such as Verdi and VCS. • Basic understanding of SoC architecture, including clocking, reset, power, and I/O concepts. • Programming or scripting experience with Python, Tcl, Perl, C, or C++. • Fluent verbal and written communication skills in English. • Strong teamwork skills and willingness to learn in a fast-paced environment. Ways to stand out from the crowd • Understanding of DFT methodologies, including Scan, ATPG, MBIST, JTAG, and Boundary Scan. • Experience with RTL or gate-level simulation and debugging. • Familiarity with silicon bring-up, hardware validation, or failure analysis. • Experience developing automation tools and engineering workflows. • Exposure to AI-assisted engineering tools, machine learning, or data analytics.