Vinci
SI/PI Engineer
Palo Alto HQ · Hybrid · Full-time · Posted Oct 12, 2026
- Experience
- 5-10+ years of hands-on SI/PI analysis; customer-facing engineering experience is also required, with no duration stated.
- Education
- Degree in Electrical Engineering or a related field; no equivalent-experience alternative stated.
About the job
Demonstrate and validate Vinci’s physics-AI software with prospective customers by modeling and analyzing SI/PI performance, recommending design improvements, and supporting adoption in engineering workflows.
What you'll do
- Run customer SI/PI simulations, correlate results with industry tools, and recommend package and PCB layout optimizations.
- Support demos, proof-of-concept evaluations, customer onboarding, troubleshooting, and training.
- Communicate customer needs and workflow gaps to product and engineering teams; represent Vinci at industry events.
What they ask for
- Degree in Electrical Engineering or a related field, with a strong academic background in EM theory and transmission lines.
- 5-10+ years of hands-on SI/PI analysis for high-speed interconnects in chip/package or system PCB design.
- Experience with industry SI/PI modeling toolchains such as Ansys HFSS/SIwave/Q2D, Keysight ADS, Cadence Sigrity, or SPICE/Spectre; or similar.
- Working knowledge of SI and PI fundamentals; scripting skills in Python, MATLAB, or Perl; and experience in a customer-facing engineering role.
Nice to have
- Experience with 2.5D/3D heterogeneous packaging and HBM/DRAM SI/PI for AI accelerator or HPC silicon.
- Experience driving SI/PI requirements from architecture through post-silicon validation, pre-sales or technical sales for EDA/simulation software, or AI-assisted design tools.
Tools
Ansys HFSS/SIwave/Q2D, Keysight ADS, Cadence Sigrity, SPICE/Spectre, Python, MATLAB, Perl
AI focus
The role demonstrates and validates Vinci’s AI-powered physics simulation platform for hardware design and shares customer needs to inform its product roadmap; AI-assisted design tools are a preferred area of familiarity.
Model-written summary · the original posting is authoritative