Early Career - Graphics Software Engineer
Work with GPU architectures, C/C++, Python, and GPU APIs like Metal, CUDA, Vulkan or DX12. You will develop GPU workloads, automated flows, and tools for verifying Apple silicon graphics processors, supporting teams in pre- and post-silicon design bring-up.
Free Tailor for ATS: 10/10 runs left
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it.
We’re looking for those with talent and ambition to innovate the way we design Apple silicon graphics processors, to provide the next technological leap and improve customer experiences in areas like real-time graphics, VR/AR, parallel computing and deep learning and welcome you to work among the industry’s best.
As a Graphics Software Engineer at our GPU UK Design Centre, you are responsible for developing GPU workloads, automated flows and tools to support the verification of our GPU designs. You will work alongside teams of architects, hardware, software and verification engineers to ensure the functionality, performance and power of our GPU designs can be efficiently and effectively verified.
Define, author and debug architectural test suites for new GPU features
Support GPU hardware teams during model and RTL design bring-up pre and post silicon
Participate in the design and implementation of GPU verification tools and APIs
Create production quality automated flows for graphics core verification
Provide insight into how real-world workloads, drivers and compilers could stress the design and benefit from new and existing GPU features
Challenge architectural design decisions. Propose refinements based on issues found
Bachelor of Science (BS) degree or equivalent
Excellent communications skills. Curiosity and creativity when solving novel problems. Self-motivated and well-organised
Excellent C/C++ programming skills
Experience with CPU and/or GPU concurrent programming
English language fluency (both written and verbal)
Experience with GPU APIs (preferably Metal, CUDA, Vulkan or DX12)
Experience with rendering and/or parallel compute algorithms
Familiarity of one or more GPU architectures and how to optimize rendering/compute algorithms, drivers and/or shader compilers for them
Experience with scripting languages (preferably Python)