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Computational Electromagnetics Engineer – Signal Integrity Vinci4D

Job in Palo Alto, Santa Clara County, California, 94306, USA
Listing for: CDFAM - Computational Design Symposium
Full Time position
Listed on 2026-09-17
Job specializations:
  • Engineering
    Systems Engineer, Electronics Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

About Us

At Vinci4D, we are building the next generation of multi-physics simulation software for semiconductor and electronics applications - tools that let engineers model thermal, fluid, electromagnetic, and structural phenomena in the same framework, from first principles to final answer. We are a small, technically deep team that moves fast, ships real software, and takes on problems that the established players have not solved well.

If you want your work to be foundational to a platform that changes how the electronics industry designs its most demanding products, this is the place.

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.

You will design and implement EM solver capabilities within Vinci4D’s multi-physics platform - spanning signal integrity analysis, frequency-domain and time-domain full-wave methods, and quasi-static extraction. You will bring the domain depth needed to make those tools genuinely useful for signal integrity, power integrity, and EM-thermal coupling workflows in semiconductor packaging and PCB design.

This is not a "run simulations for customers" role. You will be building the solvers themselves: formulating the problems mathematically, implementing the discretisations, validating against reference solutions, and integrating the results into a coupled multi-physics framework.

What You Will Work On
  • Design and implement frequency-domain and time-domain full-wave EM solvers targeting IC package, via, connector, and PCB interconnect structures at GHz frequencies

  • Develop S-parameter port extraction workflows - implementing waveport and lumped port excitations, Fourier-transforming time-domain responses, and producing touchstone-format output compatible with industry channel simulators

  • Build signal integrity analysis capabilities: transmission line characterisation, via resonance prediction, crosstalk analysis, and eye diagram generation from simulated channel responses

  • Implement time-domain methods (FDTD) with PML absorbing boundary conditions for broadband signal integrity and EMI analysis, including Gaussian pulse excitation and wideband S-parameter extraction in a single simulation run

  • Develop quasi-static field solvers for parasitic extraction - resistive, capacitive, and inductive - with frequency-dependent skin-effect corrections, producing RLGC outputs for SPICE and channel simulation workflows

  • Build the EM-to-thermal coupling layer: computing volumetric Ohmic dissipation from EM field solutions and passing it as a source term to Vinci4D’s thermal solver, with support for iterative coupling under temperature-dependent material properties

  • Develop and maintain validation infrastructure: convergence tests, golden-output comparisons against commercial reference tools (HFSS, CST, SIwave), and SI-specific benchmarks covering via S-parameters, transmission line impedance, and crosstalk

  • Collaborate with the team to integrate EM capabilities into the Vinci app, delivering outputs in formats familiar to SI engineers: S-parameters, eye diagrams, impedance profiles, and RLGC matrices

What We Are Looking For
Technical Skills - Must Have
  • 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

  • Hands-on experience with signal integrity simulation fo…

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