Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision (iOS/Android)
Posted on: 12 May 2026
Location: Prilly, Switzerland
Department: MATERIALS AND DETECTION R&I
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.
Profile
* Principal Engineer with a strong track record of delivering production software.
* Proven experience building developer tooling / automation platforms that measurably improve team productivity (e.g., faster releases, fewer regressions, reduced support load).
* Strong iOS expertise: Swift, Xcode, SDK design and packaging, performance profiling (Instruments); Objective‑C is a plus.
* Solid Android foundations: Kotlin/Java, Gradle, CameraX/Camera2, instrumentation/testing; ability to support and debug across both platforms.
* Strong understanding of CI/CD concepts and implementation experience with Jenkins (pipelines, build/test orchestration, quality gates, artifacts, release processes).
* Strong knowledge of software architecture, API design, testing strategy, secure coding practices, and maintaining high-quality codebases.
* Hands‑on experience building and optimizing computer vision / image processing pipelines on mobile devices and under real‑world constraints (latency, memory, device variability).
* Strong problem‑solving skills, translating customer needs into scalable solutions.
* Hands‑on experience deploying AI/ML models to production on resource‑constrained, heterogeneous devices.
* Solid expertise in the full ML lifecycle, including data quality, evaluation, robustness, and model release management.
* Practical experience with on‑device ML toolchains and runtimes and performance engineering under real device constraints.
* Ability to define and enforce AI usage standards in an industrial environment.
* Strong communication and collaboration skills in multicultural environments; fluent English, French is a strong plus.
Why Join Us?
* Join a global leader in trust technologies with a mission that matters.
* Be at the strategic heart of a financially sound and innovation‑driven company.
* Collaborate with high‑level experts and work on impactful international projects.
* Operate in a multi‑cultural, high‑integrity environment where autonomy and ownership are encouraged.
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