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Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision (iOS/Android)(m/w/x)
Building developer tooling and automation for mobile SDKs with Splunk integration. Strong iOS/Android expertise and CI/CD implementation required. Confidentiality and discretion, personal development opportunities.
Requirements
- Strong track record delivering production software
- Experience building developer tooling/automation platforms
- Strong iOS expertise: Swift, Xcode, SDK design, packaging, performance profiling
- Solid Android foundations: Kotlin/Java, Gradle, CameraX/Camera2, instrumentation/testing
- Strong understanding of CI/CD concepts and implementation
- Strong knowledge of software architecture, API design, testing strategy, secure coding, high-quality codebases
- Hands-on experience building/optimizing computer vision/image processing pipelines on mobile
- Strong problem-solving skills, translating customer needs to scalable solutions
- Hands-on experience deploying AI/ML models to production on resource-constrained devices
- Solid expertise in full ML lifecycle: data quality, evaluation, robustness, model release management
- Practical experience with on-device ML toolchains, runtimes, and performance engineering
- Ability to define and enforce AI usage standards in industrial environment
- Strong communication and collaboration skills in multicultural environments
- Fluent English
- French is a strong plus
Tasks
- Strengthen SDK observability and diagnostics using Splunk and other tools
- Build and own engineering tooling and automation
- Define a multi-quarter platform roadmap
- Reduce operational workload and increase developer productivity
- Design and maintain CI/CD pipelines and quality gates
- Develop automated functional tests and performance benchmarks
- Implement compatibility checks and reproducible test environments
- Deliver and evolve core mobile SDK components
- Design and maintain camera capture and image processing pipelines
- Develop and document API design and modularization
- Create and maintain smartphone apps
- Provide technical leadership through architecture decisions
- Conduct design reviews and mentor through code reviews
- Raise engineering standards
- Integrate AI/ML into the mobile detection stack
- Lead rapid prototyping to production-grade deployment
- Build AI-driven validation and triage layer for SDK releases
- Implement automated regression and anomaly detection
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Fluent
- French – Basic
Tools & Technologies
- Swift
- Xcode
- Instruments
- Objective C
- Kotlin
- Java
- Gradle
- CameraX
- Camera2
- Jenkins
- AI/ML
Benefits
Learning & Development
- Personal development opportunities
Other Benefits
- Confidentiality and discretion
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Principal Software Engineer - Mobile SDK Tooling & On‑Device Computer Vision (iOS/Android)(m/w/x)
Building developer tooling and automation for mobile SDKs with Splunk integration. Strong iOS/Android expertise and CI/CD implementation required. Confidentiality and discretion, personal development opportunities.
Requirements
- Strong track record delivering production software
- Experience building developer tooling/automation platforms
- Strong iOS expertise: Swift, Xcode, SDK design, packaging, performance profiling
- Solid Android foundations: Kotlin/Java, Gradle, CameraX/Camera2, instrumentation/testing
- Strong understanding of CI/CD concepts and implementation
- Strong knowledge of software architecture, API design, testing strategy, secure coding, high-quality codebases
- Hands-on experience building/optimizing computer vision/image processing pipelines on mobile
- Strong problem-solving skills, translating customer needs to scalable solutions
- Hands-on experience deploying AI/ML models to production on resource-constrained devices
- Solid expertise in full ML lifecycle: data quality, evaluation, robustness, model release management
- Practical experience with on-device ML toolchains, runtimes, and performance engineering
- Ability to define and enforce AI usage standards in industrial environment
- Strong communication and collaboration skills in multicultural environments
- Fluent English
- French is a strong plus
Tasks
- Strengthen SDK observability and diagnostics using Splunk and other tools
- Build and own engineering tooling and automation
- Define a multi-quarter platform roadmap
- Reduce operational workload and increase developer productivity
- Design and maintain CI/CD pipelines and quality gates
- Develop automated functional tests and performance benchmarks
- Implement compatibility checks and reproducible test environments
- Deliver and evolve core mobile SDK components
- Design and maintain camera capture and image processing pipelines
- Develop and document API design and modularization
- Create and maintain smartphone apps
- Provide technical leadership through architecture decisions
- Conduct design reviews and mentor through code reviews
- Raise engineering standards
- Integrate AI/ML into the mobile detection stack
- Lead rapid prototyping to production-grade deployment
- Build AI-driven validation and triage layer for SDK releases
- Implement automated regression and anomaly detection
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Fluent
- French – Basic
Tools & Technologies
- Swift
- Xcode
- Instruments
- Objective C
- Kotlin
- Java
- Gradle
- CameraX
- Camera2
- Jenkins
- AI/ML
Benefits
Learning & Development
- Personal development opportunities
Other Benefits
- Confidentiality and discretion
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
SICPA SA
Industry
Security
Description
The company contributes to a more secure world through its skilled employees and long-term vision.
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