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

• 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.

• 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.

• 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.

We 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.