Intern

Deveillance builds tools to prevent unwanted data collection through both hardware and AI. Our flagship device, Spectre I, detects nearby microphones and blocks them from recording. As an intern, you'll be working on experiments in putting the product together, physics and EE characterizations, and more.The RoleYou'll work across the full arc of applied physics at an early-stage hardware company: modeling and simulating acoustic and RF systems, running experiments to test those models, and analyzing the resulting data to drive engineering decisions. Some weeks will be mostly computational — building simulations, processing signal data, characterizing system behavior in Python. Other weeks will be mostly hands-on. Most weeks will be a mix. What stays constant: your work answers real questions about a shipping product.What You'll DoModel and simulate acoustic and RF phenomena — beam patterns, propagation, nonlinear effects, interference — and use those models to guide design choicesDesign and run experiments on ultrasonic and RF systems to validate models and characterize real-world performanceAnalyze measurement and signal data in Python (NumPy/SciPy, notebooks): signal processing, statistical characterization, clear visualizationsClose the loop between theory and measurement: when reality diverges from the model, figure out whyWrite up findings in short internal reports so results are reproducible and decisions are traceableWhat We're Looking For Required: Currently pursuing (or recently completed) a degree in Physics, Electrical Engineering, or a closely related fieldSolid understanding of fundamentals of waves — acoustics or electromagnetics — with the ability to reason about propagation, interference, directivity, and attenuation from first principlesWorking Python skills: comfortable with NumPy/SciPy, scripting, and producing analysis you'd show someone elseBasic electronics and measurement literacy: oscilloscopes, function generators, reading schematics, understanding gain and noiseIntellectual honesty and rigor — you document assumptions, control variables, and know the difference between a real effect and an artifactNice to have:Basic DSP knowledge: FFTs, filtering, and moreExperience with physical simulation (FEM, FDTD, or even well-built numerical models from scratch)Experience with SDRs or audio measurement equipmentExposure to FPGAs, embedded systems, or ML frameworks (PyTorch)CAD or rapid prototyping skills for test fixturesWhy This Internship Is DifferentWe're a small seed-stage team, so your models, measurements, and analyses land on the founder's desk and change what we build next week. You'll touch the whole stack — from simulation to data to impelementation — and leave with a portfolio of real technical work on a shipping product.