About

Rebecca Espigares Martin
Berkeley, CA

I grew up in Granada, in the south of Spain — a city of medieval palaces, flamenco echoing off stone walls, and Real Madrid on TV every weekend. From an early age I was fascinated by how systems work: radio signals, antennas, the invisible architecture beneath modern communication. That curiosity carried me through a BS and MS in Telecommunications Engineering at the Universidad de Granada, and then — after winning the La Caixa Fellowship, one of Spain’s most prestigious academic grants — across the Atlantic to UC San Diego for a second MS in Electrical and Computer Engineering.

I have spent 15+ years building and verifying the scientific software that engineers trust when lives and missions are on the line. At Delcross Technologies I helped develop Savant, the engine behind HFSS SBR+. At Ansys I grew from engineer to technical leader, owning the end-to-end verification strategy for one of the world’s most complex physics simulators. In 2025 I joined Synopsys as a Sr. Staff Engineer in Verification Engineering — the largest EDA company on the planet, and a whole new set of hard problems to solve.

I have called the San Francisco Bay Area home since 2017. Outside the terminal I play guitar, run trails, cook dishes from wherever the world is calling me, and read anything I can get my hands on. I still catch every Real Madrid match I can — some things never change.

Expertise

EDA Verification

Large-scale verification strategy, quality standards, and regression infrastructure at Synopsys and Ansys. Owning the full quality lifecycle for physics simulation software that the aerospace, semiconductor, and defense industries depend on.

Regression frameworks CI pipelines Quality standards

EM Simulation

Computational electromagnetics, HFSS, SBR+ ray-tracing solvers, and RF/antenna design — from theory to production code.

Test Infrastructure

Automated pipelines, CI-level regression frameworks, and cross-team quality standards that ship reliable software at scale.

Python CI/CD Automation

Scientific Computing

HPC in C++ and Fortran, parallel computing with OpenMP, MPI, and CUDA, and numerical methods for physics simulation.

C++ Fortran CUDA MPI

Skills

Languages

Python C C++ Fortran MATLAB Java Regex VHDL

Domains

EDA Verification EM Simulation HPC Antenna Design Micromagnetics Test Automation

Tools & Platforms

HFSS SBR+ FDTD OpenMP MPI CUDA Git Linux

Currently

A snapshot of what I’m into at the moment.

📖 Reading Ask me — always mid-book
⚙️ Working on Verification infrastructure at Synopsys
🏃 Running Bay Area trails, always chasing a better time
🎸 Playing Guitar — always learning something new
Watching Real Madrid. Every match, no exceptions.

Testimonials

She was part of the class I gave at Telecommunications Eng. in Granada, and that year she was one of the most outstanding students; she even helped me prepare the syllabus beforehand. I have no problem endorsing her.

Juan J. Merelo
Juan J. Merelo
Professor, Universidad de Granada

Rebecca is a very bright person. It was a pleasure to supervise someone who was not only enthusiastic but also very quick to take up new ideas. She produced work of very high quality, exceeding all the objectives set for her.

Fernando Jover Aparicio
Fernando Jover Aparicio
Smart Cities Executive Advisor

I enjoyed teaching Rebecca in two undergraduate courses. She had an excellent academic record and was an eager and informed participant. I am confident she’ll find success at whatever she tackles next.

John Owens
John Owens
Professor, UC Davis

Rebecca worked for my company on an assignment to the BT Mobility Research Centre. She worked hard and enthusiastically, and the customer was very pleased with her project. I wish her luck with future assignments.

Colin Mallet
Colin Mallet
ICT for Smart Energy & IoT

Ms. Rebecca Martin distinguished herself as one of the most eminent students in her class, obtaining maximum grades and always showing a positive attitude. She opted to carry on advanced laboratory projects, cooperating with classmates in developing several digital systems and their implementation on FPGAs.

Antonio Garcia
Antonio Garcia
Professor, Universidad de Granada