{"id":1792593,"url":"https://alion.io/job/sicpa-principal-software-engineer-mobile-sdk-tooling-on-device-computer-vision-iosandroid","title":"Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision (iOS/Android)","company":{"id":1810174,"name":"SICPA","domain":"sicpa.com","url":"https://alion.io/company/sicpa","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Prilly, Switzerland"],"countries":["CH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":123000,"max_usd":296000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1119},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"Jenkins","optional":false},{"name":"Modularization","optional":false},{"name":"Objective-C","optional":false},{"name":"Splunk","optional":false},{"name":"Swift","optional":false},{"name":"CameraX","optional":true},{"name":"Computer Vision","optional":true},{"name":"Edge AI","optional":true},{"name":"Gradle","optional":true},{"name":"Java","optional":true},{"name":"Jetpack Compose","optional":true},{"name":"Kotlin","optional":true}],"status":"live","first_seen_at":"2026-09-05T02:00:00Z","employer_posted_date":"2026-09-05","last_verified_at":"2026-10-12T19:33:57Z","board_verified":false,"closed_at":null,"days_open":40,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":40},"description":"ROLE\nStrengthen observability and diagnostics for SDKs and reference apps using Splunk and other tools (logs, metrics, crash signals, field diagnostics).\nBuild 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.\nDesign, implement, and maintain Continuous Integration / Continuous Delivery pipelines and quality gates (Jenkins) for mobile SDKs (build, test, packaging, release validation, regression detection).\nDevelop release qualification frameworks: automated functional tests, performance benchmarks, compatibility checks, and reproducible test environments.\nDeliver and evolve core components of mobile SDKs (iOS, Android): camera capture, image processing pipelines, API design, modularization, documentation, smartphone apps.\nProvide technical leadership as an Individual Contributor (no management): architecture decisions, design reviews, mentoring through code reviews, and raising engineering standards.\nLead the integration of AI/ML into the mobile detection stack, from rapid prototyping to production-grade deployment on iOS/Android.\nBuild an AI-driven validation and triage layer for SDK releases, including automated regression and anomaly detection.\nPROFILE\nPrincipal Engineer with a strong track record of delivering production software.\nProven experience building developer tooling / automation platforms that measurably improve team productivity (e.g., faster releases, fewer regressions, reduced support load).\nStrong iOS expertise: Swift, Xcode, SDK design and packaging, performance profiling (Instruments); Objective C is a plus.\nSolid Android foundations: Kotlin/Java, Gradle, CameraX/Camera2, instrumentation/testing; ability to support and debug across both platforms.\nStrong understanding of CI/CD concepts and implementation experience with Jenkins (pipelines, build/test orchestration, quality gates, artifacts, release processes).\nStrong knowledge of software architecture, API design, testing strategy, secure coding practices, and maintaining high-quality codebases.\nHands-on experience building and optimizing computer vision / image processing pipelines on mobile devices and under real-world constraints (latency, memory, device variability).\nStrong problem-solving skills, translating customer needs into scalable solutions.\nHands-on experience deploying AI/ML models to production on resource-constrained, heterogeneous devices.\nSolid expertise in the full ML lifecycle, including data quality, evaluation, robustness, and model release management.\nPractical experience with on-device ML toolchains and runtimes and performance engineering under real device constraints.\nAbility to define and enforce AI usage standards in an industrial environment.\nStrong communication and collaboration skills in multicultural environments; fluent English, French is a strong plus.\nWHY JOIN US?\nJoin a global leader in trust technologies with a mission that matters.\nBe at the strategic heart of a financially sound and innovation-driven company.\nCollaborate with high-level experts and work on impactful international projects.\nOperate in a multi-cultural, high-integrity environment where autonomy and ownership are encouraged.\nWe offer an exciting and challenging role, with great potential for personal development within a unique organization in a fascinating and fast-growing industry. 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