Drimva

NVIDIA

Senior Full-Chip RTL Integration Engineer

$168K–$310K

US, CA, Santa Clara +1 · Senior · Full-time · Posted Oct 7, 2026

Location
US, CA, Santa Clara
US, TX, Austin
Experience
8+ years of experience.
Education
B.S. or M.S. in Electrical Engineering, Computer Engineering, or related field (or equivalent experience).

About the job

Integrates IPs and subsystems into large-scale ASIC/SoC designs, driving verification readiness, DFT compliance, design quality, and signoff.

What you'll do

  • Lead RTL integration, including top-level connectivity, clocking, reset architecture, address mapping, and power-domain integration.
  • Coordinate system-level integration and design closure with architecture, design, verification, DFT, and physical-design teams; perform RTL quality checks and support signoff.
  • Develop integration-level verification plans, debug simulations, support coverage closure, and create automation to improve engineering productivity.

What they ask for

  • B.S. or M.S. in Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
  • Strong ASIC/SoC RTL integration experience and understanding of digital design, SoC architecture, clocking, reset, and bus protocols.
  • Hands-on SystemVerilog and UVM verification experience, including ability to verify block-level and integration-level designs.
  • Understanding of DFT methodologies and experience with lint, CDC, RDC, and design-quality signoff flows.

Nice to have

  • Large-scale SoC or full-chip integration experience; exposure to Synopsys, Cadence, or Siemens DFT and verification tools.
  • Low-power design and UPF experience; scripting in Python, Perl, Tcl, or Shell, including interest in automation and AI-assisted development tools.

Pay

168,000 USD - 264,500 USD base salary; 196,000 USD - 310,500 USD base salary

Tools

ASIC/SoC, SystemVerilog, UVM, Scan, ATPG, MBIST, LBIST, JTAG

AI focus

The role may use AI-assisted development tools to improve engineering productivity. NVIDIA also uses AI tools in its recruiting processes.

Model-written summary · the original posting is authoritative

First seen Oct 16, 2026 · Last verified Nov 5, 2026 (UTC)