- B.S. or M.S. in Electrical Engineering, Computer Engineering, or related field (or equivalent experience) with 8+ years of experience.
- Strong experience in ASIC/SoC RTL Integration.
- Excellent understanding of digital design fundamentals, SoC architecture, clocking, reset, and bus protocols.
- Strong verification knowledge with hands-on experience in SystemVerilog and UVM.
- Ability to independently verify block-level and integration-level designs.
- Strong understanding of DFT methodologies including Scan, ATPG, MBIST, LBIST, JTAG, and test compression techniques.
- Experience with lint, CDC, RDC, and design quality signoff flows.
- Strong debugging, analytical, and problem-solving skills.
- Good communication skills and ability to work effectively across multiple engineering teams.
Ways to stand out from the crowd
- Experience with large-scale SoC or full-chip integration, including high-speed interfaces, processor subsystems, memory controllers, and third-party IPs.
- Exposure to Synopsys, Cadence, or Siemens DFT and verification tools.
- Experience with low-power design methodologies and UPF.
- Proficiency in Python, Perl, Tcl, or Shell scripting, and a passion for improving engineering productivity through automation and AI-assisted development tools.
- Ability to bridge integration, verification, and DFT domains to solve complex system-level challenges and drive efficient design closure.
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Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are: 168,000 USD – 264,500 USD for Level 4; and 196,000 USD – 310,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.