Job Overview:
As a GPU Micro-Architect at Apple’s Silicon Technologies group, you will define and optimize the micro-architectures for next-generation, high-performance, power-efficient GPUs, collaborating with architects, designers, and modelers to analyze workloads and identify bottlenecks. The role requires a strong background in GPU/CPU/SIMD architectures, experience in micro-architecture specification, and proficiency in VHDL/Verilog, as well as deep expertise in focused GPU areas like ISA development or memory subsystem design. Additionally, you will work in a data-driven environment, leveraging programming skills in C/C++ and scripting languages while contributing to team productivity and innovation.
>> View full job details on Apple’s official website.
Resume and Interview Tips:
When tailoring your resume for the GPU Architect position at Apple, focus on highlighting your extensive experience in GPU/CPU/SIMD architectures, emphasizing specific projects where you defined or optimized micro-architectures. Showcase your proficiency in VHDL/Verilog and any hands-on work with RTL or architectural modeling, as these are critical skills for the role. Include examples of high-performance, low-power designs you’ve contributed to, and detail your expertise in focused GPU areas like ISA development or memory subsystem design. Don’t forget to mention your programming skills in C/C++ and scripting languages, as well as experience with GPU APIs, as these are preferred qualifications. Use quantifiable achievements, such as performance improvements or power efficiency gains, to demonstrate your impact. Strong communication and collaboration skills are also key, so highlight instances where you worked effectively in a team to solve complex challenges.
During the interview, be prepared to discuss your technical expertise in GPU micro-architecture in depth, including specific challenges you’ve faced and how you addressed them. Expect questions about your experience with VHDL/Verilog, RTL modeling, and low-power design, as well as your approach to analyzing workloads and identifying bottlenecks. The interviewer will likely probe your problem-solving skills, so be ready to walk through your thought process for optimizing micro-architectures. Since the role involves collaboration, emphasize your communication and negotiation skills, providing examples of how you’ve influenced team decisions or resolved ambiguities. Familiarize yourself with Apple’s GPU technologies and be prepared to discuss how your skills align with their focus on performance and power efficiency. Finally, demonstrate your passion for innovation by sharing your ideas for future GPU advancements and how you stay updated with industry trends.