# Computational Electromagnetics Engineer – Signal Integrity at Vinci

- Company: Vinci
- What the company does: Run full-resolution simulations in minutes. Vinci’s foundation model for physics unites AI acceleration with verified solvers for as-built accuracy. Backed by Khosla.
- Company website: https://www.getvinci.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: Palo Alto HQ
- Work setup: Remote
- Pay: $180K to $210K base salary per year (USD)
- Posted: 2026-08-17
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/vinci/c0e2cda6-1a56-4ab4-b86a-2cb6abb4c84f
- Page: https://www.1752.vc/careers/jobs/vinci-computational-electromagnetics-engineer-signal-integrity/

## About the role

We are looking for a computational electromagnetics engineer with deep expertise in signal integrity simulation for the semiconductor and electronics industry. You understand Maxwell's equations well enough to derive discretisations from scratch, and you have shipped production EM solvers or SI analysis tools that real engineers have relied on to qualify packages, characterise high-speed channels, or sign off interfaces at multi-gigabit data rates.

## What they're looking for

- Deep working knowledge of computational electromagnetics: FDTD, FDFD, and quasi-static methods, with a clear understanding of when each is appropriate and what their failure modes are
- Solid understanding of the full SI simulation workflow: from 3D EM field solutions through S-parameter extraction, through channel simulation, to eye diagram and margin analysis
- Experience implementing FDTD solvers including the Yee cell staggered update, CFL stability, PML or absorbing boundary conditions, and port-based S-parameter extraction via Fourier analysis of time-domain responses
- Experience with frequency-domain EM (FDFD or equivalent) including complex material properties, frequency sweeps, and direct or iterative solution of the resulting sparse complex linear systems
- Experience with quasi-static field solvers for resistive, capacitive, and inductive parasitic extraction, including frequency-dependent skin-effect modelling
- Proficiency in C++ and/or Python in a performance-critical scientific computing context

Tags: Engineering