Do you love problem solving and creating elegant solutions to complex technical challenges? As part of our Silicon Engineering team, you'll help develop and manufacture our next-generation, high-performance, power-efficient graphics processors! You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this team means you'll be responsible for crafting and building workloads that ensure Apple devices are best-in-class. Join us to help deliver the next groundbreaking product containing an Apple GPU!
In this impactful role, you will be responsible for tooling and workloads used by teams involved in all stages of the GPU development lifecycle, from early feature specification through silicon bring-up and beyond. You will work with other teams at engineering sites around the globe towards the shared goal of ensuring that Apple GPUs meet the highest quality and efficiency standards. This job involves designing, developing, and maintaining workloads for GPU architectural validation and design verification.
Description
Join the team to play a central role in developing upcoming Apple GPUs. You will help to ensure the GPU is functional, performant, and within the expected power envelope. In this role, you will work with many other teams involved in GPU development, including but not limited to Architecture, Modeling, Performance, Power, Design Verification, Silicon Validation, and Manufacturing. You will develop mission-critical workloads for graphics core verification, and work alongside other GPU hardware teams from design bring-up through post-silicon, to identify and debug architectural, logic, and silicon issues. This includes working with the GPU software teams during production driver bring-up to rapidly identify and resolve software issues.
Minimum Qualifications
BS + 10 years of relevant experience.
Experience with computer and / or GPU architecture, through relevant coursework or industry experience.
Experience with C++ programming.
Preferred Qualifications
Demonstrated knowledge of the software graphics pipeline and its application to computer graphics and / or ML, through relevant coursework or industry experience.
Experience with GPU programming via OpenGL, Vulkan, Metal, DirectX, CUDA, or other APIs.
Experience with continuous integration systems, automated build systems, and regression systems.
Strong communication skills.
Experience working in teams.
Masters or PhD is preferred.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: 1124855943c12392b569fdb9bccf1725
- Posted 39 minutes ago
