DFM Automation & AI Tools Development Engineer

Apple • Cupertino, CA

67d

About The Position

Join a team focused on automating the perfection of Apple’s products. Being creative to make sure environmental impact is a priority in Apple’s design decisions. Craft transformative tools to drive design intelligence at Apple. Enable inspiring product design by leveraging data-driven insights to designers. Work with a diverse array of data types spanning geometric data, image data, network/graph data, time-series. Opportunities to work on algorithms, models, web-app development. Challenge the historical methods of doing things. Support development of automated ECAD and DRC checks based on field learnings. Develop automated tools to improve the efficiency of the design review and manufacturing process. Create dashboards and other data product deliverables to summarize large data sets. Maintain and continually improve data quality of complex, high volume data systems.

Requirements

• Experience with scripting, development or advanced use of EDA tools for PCB or FPC analysis.
• 3+ years proficiency with one or more programming languages including Python, C++, Rust, Swift, and/or JavaScript.
• BS or higher in mechanical, computer or software engineering (or similar).

Nice To Haves

• Ability to work with a cross-functional team to define requirements and suitable metrics for new products and software tools.
• Expertise in processing, transforming, and visualizing structured/unstructured data.
• Proficiency with web technologies, HTML, and web APIs.
• Understanding of ML and deep learning or reinforcement learning models.
• Experience with cloud computing systems and containerization.
• Familiarity with DevOps practices, Agile methodologies, and Git version control.

Responsibilities

• Automate the perfection of Apple’s products.
• Ensure environmental impact is a priority in design decisions.
• Craft transformative tools to drive design intelligence.
• Leverage data-driven insights to inspire product design.
• Work with diverse data types including geometric, image, network/graph, and time-series data.
• Develop algorithms, models, and web applications.
• Support development of automated ECAD and DRC checks.
• Improve efficiency of design review and manufacturing processes.
• Create dashboards and data product deliverables.
• Maintain and improve data quality of complex data systems.

What This Job Offers

• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees