Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision

--- base: meta-keywords: meta-viewport: width=device-width, title: Principal Software Engineer - Mobile SDK Tooling \& On‑Device Computer Vision (iOS/Android) --- Principal Software Engineer - Mobile SDK Tooling \\\& On‑Device Computer Vision (iOS/Android) ============================================================================================== Established in 1927, SICPA is a Swiss private technology company that supports the effective governance and long-term prosperity of nations. SICPA sets the pulse of sovereignty, enabling governments to protect their citizens, sovereign assets, and economies. Best known for securing the majority of the world's banknotes, SICPA operates across five continents. Today, our platform for sovereignty delivers integrated solutions safeguarding revenue mobilisation, natural resources, health, and brand protection as well as digital sovereignty and secure public services. ROLE * Strengthen observability and diagnostics for SDKs and reference apps using Splunk and other tools (logs, metrics, crash signals, field diagnostics). * Build and own engineering tooling and automation, and define a multi-quarter platform roadmap, to measurably reduce operational workload and increase developer productivity at scale across the team (\\\~20 engineers), while reducing integration and support effort. * Design, implement, and maintain Continuous Integration / Continuous Delivery pipelines and quality gates (Jenkins) for mobile SDKs (build, test, packaging, release validation, regression detection). * Develop release qualification frameworks: automated functional tests, performance benchmarks, compatibility checks, and reproducible test environments. * Deliver and evolve core components of mobile SDKs (iOS, Android): camera capture, image processing pipelines, API design, modularization, documentation, smartphone apps. * Provide technical leadership as an Individual Contributor (no management): architecture decisions, design reviews, mentoring through code reviews, and raising engineering standards. * Lead the integration of AI/ML into the mobile detection stack, from rapid prototyping to production-grade deployment on iOS/Android. * Build an AI-driven validation and triage layer for SDK releases, including automated regression and anomaly detection.