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