About this role
QA Engineer, On-Device Reconstruction Voice AI Whispp Software Engineering, Data Science, Quality Assurance · Full-time Posted on Sep 19, 2026 About Whispp Whispp is an award-winning deep-tech startup in Leiden. Our on-device Voice Reconstruction AI turns whispered, affected, and noisy speech into a person's clear, natural voice - in under 100 ms, on-device, with full speaker identity preserved. We license the technology as an SDK to smartphone and PC OEMs, chipset vendors, and hearing-protection manufacturers, and we have active proof-of-concept programs with tier-1 partners. The role You own the quality for the Whisper-to-Speech SDK - from the audio that comes out of it to the way it behaves on a customer's silicon. When a partner puts our technology in front of their users, your work is the reason they can trust it. This role sits on two disciplines at once, and we need both. Embedded software testing tells you whether the SDK runs correctly on the target: latency budgets, memory, NPU behaviour, thermal limits, stability over hours of use. Audio and voice quality testing tells you whether the result is worth running at all: intelligibility, naturalness, preserved speaker identity, absence of artefacts. A build that measures clean but sounds wrong is a failure, and so is a convincing reconstruction that drops frames on the customer's chipset. We are looking for someone credible on both sides, who can catch what each discipline alone would miss. This is our first dedicated QA hire. You will work at the intersection of our AI, engineering, and product teams: turning model behaviour into measurable quality criteria, turning quality data into product decisions, and turning what you find in the field into research priorities. You'll work directly with our AI researchers, integration and full-stack engineers, Technical Product Manager, and business development team, and you'll set the quality foundations that let us run multiple...