Qualcomm, a global leader in mobile technology, is seeking a Staff GPU Compiler Performance Engineer to join their innovative GPU team. The role focuses on optimizing the Adreno GPU compiler, which powers the industry-leading mobile graphics solutions in Android smartphones worldwide. This position offers a unique opportunity to work on cutting-edge technology that enables VR/AR, IoT, AI, and autonomous driving applications.
The successful candidate will be responsible for researching, analyzing, and improving Qualcomm's Adreno GPU compiler and system performance for worldwide customers. Working with real-world GPU applications, you'll conduct experiments and prototype compiler optimizations while having the opportunity to influence the performance of games, applications, and hardware design through interactions with graphics drivers, architecture, and game development teams.
This is a remote position based in Canada, offering the flexibility of working from home while being part of a global team. The role requires a strong background in compiler optimization, computer architecture, and parallel computing, with ideal candidates having experience in graphics shader programming and performance profiling.
The position offers comprehensive benefits including world-class health coverage, financial planning programs, mental health support, and continuous learning opportunities. You'll work alongside leading engineering and technology experts, contributing to innovations that impact lives globally. The role provides significant growth potential through mentorship programs and tuition reimbursement.
Join Qualcomm to be part of a team that's pushing the boundaries of mobile GPU technology, working on projects that directly influence the future of mobile computing, gaming, and artificial intelligence. This is an excellent opportunity for experienced engineers looking to make a significant impact in the mobile graphics industry while working for a company known for its technological innovation and comprehensive employee benefits.