Ph3Principal Software Engineer - Mobile SDK Tooling On‑Device Computer Vision (iOS/Android) /h3 pPosted on: 12 May 2026 /p pLocation: Prilly, Switzerland /p pDepartment: MATERIALS AND DETECTION RI /p h3Role /h3 ul liStrengthen observability and diagnostics for SDKs and reference apps using Splunk and other tools (logs, metrics, crash signals, field diagnostics). /li liBuild 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. /li liDesign, implement, and maintain Continuous Integration / Continuous Delivery pipelines and quality gates (Jenkins) for mobile SDKs (build, test, packaging, release validation, regression detection). /li liDevelop release qualification frameworks: automated functional tests, performance benchmarks, compatibility checks, and reproducible test environments. /li liDeliver and evolve core components of mobile SDKs (iOS, Android): camera capture, image processing pipelines, API design, modularization, documentation, smartphone apps. /li liProvide technical leadership as an Individual Contributor (no management): architecture decisions, design reviews, mentoring through code reviews, and raising engineering standards. /li liLead the integration of AI/ML into the mobile detection stack, from rapid prototyping to production‑grade deployment on iOS/Android. /li liBuild an AI‑driven validation and triage layer for SDK releases, including automated regression and anomaly detection. /li /ul h3Profile /h3 ul liPrincipal Engineer with a strong track record of delivering production software. /li liProven experience building developer tooling / automation platforms that measurably improve team productivity (e.g., faster releases, fewer regressions, reduced support load). /li liStrong iOS expertise: Swift, Xcode, SDK design and packaging, performance profiling (Instruments); Objective‑C is a plus. /li liSolid Android foundations: Kotlin/Java, Gradle, CameraX/Camera2, instrumentation/testing; ability to support and debug across both platforms. /li liStrong understanding of CI/CD concepts and implementation experience with Jenkins (pipelines, build/test orchestration, quality gates, artifacts, release processes). /li liStrong knowledge of software architecture, API design, testing strategy, secure coding practices, and maintaining high-quality codebases. /li liHands‑on experience building and optimizing computer vision / image processing pipelines on mobile devices and under real‑world constraints (latency, memory, device variability). /li liStrong problem‑solving skills, translating customer needs into scalable solutions. /li liHands‑on experience deploying AI/ML models to production on resource‑constrained, heterogeneous devices. /li liSolid expertise in the full ML lifecycle, including data quality, evaluation, robustness, and model release management. /li liPractical experience with on‑device ML toolchains and runtimes and performance engineering under real device constraints. /li liAbility to define and enforce AI usage standards in an industrial environment. /li liStrong communication and collaboration skills in multicultural environments; fluent English, French is a strong plus. /li /ul h3Why Join Us? /h3 ul liJoin a global leader in trust technologies with a mission that matters. /li liBe at the strategic heart of a financially sound and innovation‑driven company. /li liCollaborate with high‑level experts and work on impactful international projects. /li liOperate in a multi‑cultural, high‑integrity environment where autonomy and ownership are encouraged. /li /ul /p #J-18808-Ljbffr