The role involves joining the GPU FE Implementation team at Apple, focusing on optimizing and delivering world-class GPUs for Apple Silicon. The successful candidate will collaborate closely with RTL and physical design teams to ensure synthesis, analysis, and optimization of delivered IP. This position requires a passion for innovation and a commitment to delivering high-quality products that enhance user experiences. The ideal candidate will leverage advanced techniques to meet challenging targets in timing, power, and area.

• BS degree with 10 years of relevant experience
• Experience driving block level synthesis and optimizations
• Experience with RTL design improvement for optimal area, timing, and power
• Experience debugging complex logic equivalence issues and in netlist checks
• Experience implementing ECOs for functionality and timing
• Scripting experience in ASIC flows using Python, Tcl, or Perl
• Familiarity with DFT insertion and simulation debugging tools
• Experience working on GPUs or CPUs is desirable

• Craft and build a GPU that enriches the lives of millions of people.
• Collaborate with RTL and physical design teams on synthesis and optimization.
• Drive multi-block closure across RTL Design and Physical Design teams.
• Analyze architectural critical paths to meet timing, power, and area targets.
• Develop and drive the adoption of innovative methodologies across projects.

• 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.