About

Built by an engineer who has been in the room when the measurement failed

SignalDev Labs comes from field applications engineering: customer labs, live debug pressure, complex instruments, imperfect setups, and the need to make progress without perfect information.

How I think about the work

SignalDev Labs is led by an engineer with 22+ years of experience who currently works as a Field Applications Engineer at Tektronix, working directly with engineering teams across fiber-optic communications, semiconductors, embedded systems, RF, and high-speed digital validation.

That role teaches a specific kind of discipline. You learn to listen carefully, read the waveform before jumping to conclusions, check the setup before blaming the device, and translate a capable instrument into something that solves the customer’s actual problem.

I have watched teams lose days because a lab setup was hard to reproduce, a script was brittle, a measurement was configured incorrectly, or nobody could tell whether the failure was real. SignalDev Labs exists to attack that kind of friction.

This is also personal. I grew up working early, and that shaped how I approach difficult problems: show up, stay with the issue, keep learning, and do the uncomfortable work until the answer is clearer. I am building SignalDev Labs with that same mindset — technical depth, practical execution, and no theater.

Principles

These are the habits I want a senior hardware engineer to recognize immediately.

Start with the measurement chain.Before assuming the device is broken, verify probing, cabling, calibration, bandwidth, triggering, math, and limits.
Make the setup repeatable.A useful debug result should survive handoff to another engineer, another bench, or next month’s validation run.
Automate the boring parts carefully.Automation should reduce mistakes, not create a fragile black box that only one person understands.
Bridge instrument capability to application need.High-end test equipment becomes valuable when it is configured around the actual engineering question.
Stay close to the customer’s constraint.The right recommendation depends on schedule pressure, available equipment, team bandwidth, and what decision the data must support.

If your lab problem is slowing down the team, let’s look at it.

A focused consultation can often identify whether you need a setup change, a better test method, automation, or deeper root-cause work.