Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision (iOS/Android)

Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision (iOS/Android)

Vollzeit Vor Ort
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ulliStrengthen observability and diagnostics for SDKs and reference apps using Splunk and other tools (logs, metrics, crash signals, field diagnostics). /liliBuild 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. /liliDesign, implement, and maintain Continuous Integration / Continuous Delivery pipelines and quality gates (Jenkins) for mobile SDKs (build, test, packaging, release validation, regression detection). /liliDevelop release qualification frameworks: automated functional tests, performance benchmarks, compatibility checks, and reproducible test environments. /liliDeliver and evolve core components of mobile SDKs (iOS, Android): camera capture, image processing pipelines, API design, modularization, documentation, smartphone apps. /liliProvide technical leadership as an Individual Contributor (no management): architecture decisions, design reviews, mentoring through code reviews, and raising engineering standards. /liliLead the integration of AI/ML into the mobile detection stack, from rapid prototyping to production‑grade deployment on iOS/Android. /liliBuild an AI‑driven validation and triage layer for SDK releases, including automated regression and anomaly detection. /li /ulh3PROFILE /h3ulliPrincipal Engineer with a strong track record of delivering production software. /liliProven experience building developer tooling / automation platforms that measurably improve team productivity (e.g., faster releases, fewer regressions, reduced support load). /liliStrong iOS expertise: Swift, Xcode, SDK design and packaging, performance profiling (Instruments); Objective C is a plus. /liliSolid Android foundations: Kotlin/Java, Gradle, CameraX/Camera2, instrumentation/testing; ability to support and debug across both platforms. /liliStrong understanding of CI/CD concepts and implementation experience with Jenkins (pipelines, build/test orchestration, quality gates, artifacts, release processes). /liliStrong knowledge of software architecture, API design, testing strategy, secure coding practices, and maintaining high‑quality codebases. /liliHands‑on experience building and optimizing computer vision / image processing pipelines on mobile devices and under real‑world constraints (latency, memory, device variability). /liliStrong problem‑solving skills, translating customer needs into scalable solutions. /liliHands‑on experience deploying AI/ML models to production on resource‑constrained, heterogeneous devices. /liliSolid expertise in the full ML lifecycle, including data quality, evaluation, robustness, and model release management. /liliPractical experience with on‑device ML toolchains and runtimes and performance engineering under real device constraints. /liliAbility to define and enforce AI usage standards in an industrial environment. /liliStrong communication and collaboration skills in multicultural environments; fluent English, French is a strong plus. /li /ulJob description:br/h3ROLE /h3ulliStrengthen observability and diagnostics for SDKs and reference apps using Splunk and other tools (logs, metrics, crash signals, field diagnostics). /liliBuild 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. /liliDesign, implement, and maintain Continuous Integration / Continuous Delivery pipelines and quality gates (Jenkins) for mobile SDKs (build, test, packaging, release validation, regression detection). /liliDevelop release qualification frameworks: automated functional tests, performance benchmarks, compatibility checks, and reproducible test environments. /liliDeliver and evolve core components of mobile SDKs (iOS, Android): camera capture, image processing pipelines, API design, modularization, documentation, smartphone apps. /liliProvide technical leadership as an Individual Contributor (no management): architecture decisions, design reviews, mentoring through code reviews, and raising engineering standards. /liliLead the integration of AI/ML into the mobile detection stack, from rapid prototyping to production‑grade deployment on iOS/Android. /liliBuild an AI‑driven validation and triage layer for SDK releases, including automated regression and anomaly detection. /li /ulh3PROFILE /h3ulliPrincipal Engineer with a strong track record of delivering production software. /liliProven experience building developer tooling / automation platforms that measurably improve team productivity (e.g., faster releases, fewer regressions, reduced support load). /liliStrong iOS expertise: Swift, Xcode, SDK design and packaging, performance profiling (Instruments); Objective C is a plus. /liliSolid Android foundations: Kotlin/Java, Gradle, CameraX/Camera2, instrumentation/testing; ability to support and debug across both platforms. /liliStrong understanding of CI/CD concepts and implementation experience with Jenkins (pipelines, build/test orchestration, quality gates, artifacts, release processes). /liliStrong knowledge of software architecture, API design, testing strategy, secure coding practices, and maintaining high‑quality codebases. /liliHands‑on experience building and optimizing computer vision / image processing pipelines on mobile devices and under real‑world constraints (latency, memory, device variability). /liliStrong problem‑solving skills, translating customer needs into scalable solutions. /liliHands‑on experience deploying AI/ML models to production on resource‑constrained, heterogeneous devices. /liliSolid expertise in the full ML lifecycle, including data quality, evaluation, robustness, and model release management. /liliPractical experience with on‑device ML toolchains and runtimes and performance engineering under real device constraints. /liliAbility to define and enforce AI usage standards in an industrial environment. /liliStrong communication and collaboration skills in multicultural environments; fluent English, French is a strong plus. /li /ulWe offer:br/h3WHY JOIN US? /h3ulliJoin a global leader in trust technologies with a mission that matters. /liliBe at the strategic heart of a financially sound and innovation‑driven company. /liliCollaborate with high‑level experts and work on impactful international projects. /liliOperate in a multi‑cultural, high-integrity environment where autonomy and ownership are encouraged.br/ /li /ulpWe offer an exciting and challenging role, with great potential for personal development within a unique organization in a fascinating and fast‑growing industry. Your file will be handled with upmost confidentiality and discretion. /p #J-18808-Ljbffr

Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision (iOS/Android) Arbeitgeber: SICPA

SICPA ist ein hervorragender Arbeitgeber, der in Prilly, Schweiz, eine dynamische und unterstützende Arbeitsumgebung bietet. Unsere Unternehmenskultur fördert Innovation und Zusammenarbeit, während wir unseren Mitarbeitern vielfältige Möglichkeiten zur beruflichen Weiterentwicklung und persönlichen Entfaltung bieten. Mit einem klaren Fokus auf Qualität und Kundenzufriedenheit sind wir stolz darauf, ein Team zu haben, das an bedeutungsvollen Projekten arbeitet und dabei die neuesten Technologien im Bereich digitale Lösungen und KI nutzt.

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