Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other's ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It's the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you'll do more than join something you'll add something.

Description Drive technical direction regarding frameworks, design patterns, and tooling to ensure long-term scalability, performance, and maintainability. Collaborate with product, design, operations, and test engineering teams to translate complex manufacturing requirements into robust, elegant software solutions. Lead production incident response, perform root cause analysis, and proactively address technical debt to improve system resilience and developer experience. Provide technical guidance to junior and mid-level engineers, fostering a team culture of engineering excellence and continuous learning.



Preferred Qualifications Excellent communication skills - ability to articulate technical trade-offs clearly to both engineering teams and non-technical manufacturing stakeholders Practical experience using AI-centric scripting languages (Python) alongside GenAI tools to automate data handling, synthesise test data and streamline model integration workflows Demonstrated experience in quality engineering - unit, UI and performance testing - leveraging Generative AI to automate test script creation, generate edge-case scenarios and validate AI model accuracy Experience in manufacturing, factory automation or industrial IoT software domains Published apps on the App Store or a solid portfolio demonstrating technical depth in on-device AI and native platform development Minimum Qualifications Expert-level proficiency in Swift and strong working knowledge of Objective-C, with demonstrated capability of leveraging Generative AI coding assistants (e.g., GitHub Copilot, Cursor) to accelerate feature development, code refactoring, and daily programming tasks Deep expertise in Apple frameworks - UIKit, SwiftUI, Combine, and Foundation - with specialised, hands-on knowledge of Apple’s machine learning stack: Core ML, Vision, Create ML, and Metal for hardware-accelerated edge inference

📌 Ondevice Application Engineer - Manufacturing Systems and Infrastructure (Bengaluru)
🏢 Apple
📍 Bengaluru