Join the Low Power group at Silicon Technologies to develop cutting-edge technology for low-power chip design. This role focuses on creating innovative automated tools and capabilities that enhance power efficiency in Apple's next-generation chips. You will work on low-power flow algorithms using AI and machine learning, impacting mobile system-on-chip designs. Collaboration with design teams will be essential to ensure the smooth adoption of new methodologies.

• A minimum of a bachelor's degree in a relevant field.
• A minimum of 3 years of relevant industry experience.
• Solid grasp of VLSI designs and SOC design processes.
• Enthusiasm for scripting and leveraging low-power expertise to innovate software solutions.
• Experience in flow development and algorithm design using Python, Perl, or TCL.
• Demonstrated proficiency in contemporary software testing and development methodologies.
• Familiarity with low-power principles is advantageous.

• Develop and improve low-power flow algorithms using AI and machine learning.
• Create innovative automated tools and capabilities for the Silicon Engineering Power team.
• Involve in the architecture, implementation, and validation of low-power design and verification workflows.
• Develop flows and tools for power analysis, optimization, and verification.
• Integrate tools into stages such as RTL development, verification, synthesis, or place-and-route.
• Collaborate with design teams to address queries and resolve issues.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.