Silicon Automation Engineer - Robotics and AIML
Summary
Imagine what you could do here! At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. This position is offered in Apple's System QA department within Product Integrity organization.
The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire industries. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Description
We are seeking a creative and motivated automation engineer with a strong background in Silicon Validation, robotics control, AIML and automation software development. This role requires integrating software and hardware solutions to build a world-class intelligent automation system to serve silicon validation.
Responsibilities
- Formulate, review, execute, and lead test strategies and plans for Silicon automation, focusing on IO function with Apple silicon
- Control robotics systems with computer vision, 3d camera, machine learning, etc
- Develop automation software systems with smart, scalable, and testable code
- Implement AI/ML models for target detection, collision avoidance and automation control
- Collaborate with senior engineers and cross-functional partners to understand requirements and translate them into concrete technical tasks
- Stay up to date with the evolving AI/ML landscape and help improve our tools, infrastructure, and practices based on new developments
- Utilize CAD software (SolidWorks, Fusion 360, or equivalent) for mechanical modeling and fabrication (3D printing, CNC machining, etc.)
Minimum Qualifications
- Bachelor's, Master's, or PhD in Computer Science, Robotics, Electrical Engineering or a related field
- Strong proficiency in Python and C++ with experience in complex, multi-language systems.
- Expertise in AIML algorithms and deep learning frameworks such as PyTorch and TensorFlow.
- Strong software engineering skills, delivering clean, well-tested, and optimized code.
Preferred Qualifications
- Technical knowledge of I/O technologies, including graphic interfaces (Thudernbolt, DP, HDMI, USB, etc.)
- iOS/macOS Application development experience using Xcode
- Hands-on experience with 3D CAD modeling (SolidWorks, Fusion 360) and fabrication (3D printing, CNC machining, etc.).