Principal Software Engineer – Mobile SDK Tooling & On‑Device Vision iOS/Android

About the role

We are looking for a Principal Software Engineer to lead the development of mobile SDK tooling and on‑device computer‑vision capabilities for iOS and Android. You will drive observability, automation, and AI/ML integration while mentoring a team of engineers.

Key responsibilities

• Strengthen observability and diagnostics for SDKs and reference apps using Splunk, logs, metrics, crash signals and field diagnostics.
• Build and own engineering tooling and automation, defining a multi‑quarter roadmap to reduce operational workload and boost developer productivity across ~20 engineers.
• Design, implement and maintain CI/CD pipelines and quality gates in Jenkins for mobile SDK build, test, packaging, release validation and regression detection.
• Develop release qualification frameworks including automated functional tests, performance benchmarks, compatibility checks and reproducible test environments.
• Deliver and evolve core SDK components (camera capture, image‑processing pipelines, API design, modularization, documentation and sample apps) for iOS and Android.
• Provide technical leadership as an individual contributor: architecture decisions, design reviews, code‑review mentoring and raising engineering standards.
• Lead integration of AI/ML into the mobile detection stack, from rapid prototyping to production‑grade deployment on both platforms.
• Build an AI‑driven validation and triage layer for SDK releases, incorporating automated regression and anomaly detection.

Required profile

• Principal Engineer with a proven track record delivering production software.
• Experience building developer tooling and automation platforms that measurably improve team productivity.
• Strong iOS expertise (Swift, Xcode, SDK design, performance profiling with Instruments; Objective‑C a plus).
• Solid Android foundations (Kotlin/Java, Gradle, CameraX/Camera2, instrumentation/testing).
• Deep understanding of CI/CD concepts and hands‑on experience with Jenkins.
• Expertise in software architecture, API design, testing strategy, secure coding and high‑quality codebases.
• Hands‑on experience with computer‑vision and image‑processing pipelines on resource‑constrained mobile devices.
• Experience deploying AI/ML models on heterogeneous mobile hardware and managing the full ML lifecycle.

Required skills

• Swift
• Objective‑C
• Xcode
• Kotlin
• Java
• Gradle
• CameraX
• Camera2
• Jenkins
• Splunk
• CI/CD pipelines
• Mobile SDK development
• Computer vision
• Image processing
• AI/ML deployment on mobile
• Performance profiling (Instruments)
• Automated testing
• Release qualification frameworks