A recent IEEE Spectrum article introduces Sergey Antonovich, an embedded systems engineer whose work spans two seemingly unrelated realms: building custom electronic accordions and developing components for autonomous vehicle systems. Antonovich’s story highlights that underneath both pursuits lies the same fundamental engineering challenge: processing real-time digital signals swiftly and accurately. That shared requirement links the complex sensor systems of self-driving cars with the responsive electronics of a finely tuned musical instrument.
Raised near Moscow, Antonovich started in music and electronics at an early age. He learned accordion and music theory as a child, then shifted his focus to electronics in after-school classes where he built circuits and basic devices. This combination of interests set the stage for a career in embedded systems, a field that demands tight integration of hardware and software to manage data with minimal delay.
Today, he works at autonomous vehicle developer Avride, focused on sensor systems that feed perception algorithms. In self-driving cars, radar, lidar, and other sensors generate massive streams of data that must be synchronized and processed in real time so the vehicle can detect obstacles and make safe decisions. Antonovich’s expertise in keeping latency low and signal paths efficient matters deeply in these safety-critical applications.
In his spare time, he applies the same principles to create digital and hybrid accordions—lightweight, self-contained instruments that mix traditional acoustic sound with synthesized audio and wireless connectivity. The goal in both fields, cars and accordions, is to minimize delay between input and response so performance feels seamless. That overlap reveals how real-time systems engineering underpins both advanced technology and creative expression, whether controlling an autonomous vehicle or making music.