gpu-architecture jobs in San Diego

As a Machine Learning Application Developer, you will develop and optimize neural rendering applications and ML software for efficient AI execution on Samsung's mobile GPUs. Working with hardware and software teams, you'll optimize performance and resource utilization by developing API-level software, ML operator implementations (GEMM, convolution, activations), and conducting low-level performance analysis.…See more The role requires strong C/C++/Python skills, proficiency with Vulkan/OpenGL/OpenCL, hands-on neural rendering experience, and deep understanding of GPU architecture and performance optimization techniques.

Qualcomm seeks a Systems Software Power Engineer to optimize power efficiency for next-generation Snapdragon SoCs. The role spans the full lifecycle from pre-silicon modeling through post-silicon debug, requiring expertise in power architectures, control loops, and low-power techniques across hardware and software layers.…See more Key responsibilities include driving end-to-end power optimization across architecture, firmware, kernel, and Android teams; prototyping and evaluating power features; executing post-silicon power KPI validation; and developing power debug and analysis infrastructure. The position demands strong embedded software skills with hands-on experience in firmware and Linux kernel development, plus solid understanding of computer architecture, memory hierarchies, CPU/GPU design, and OS fundamentals.

Senior Software Engineer role on Google's Pixel GPU driver team, responsible for developing and maintaining kernel and user-space graphics driver stacks. Requires 5+ years of low-level systems programming in C++ or C, 3+ years of device driver development interfacing software with hardware, 3+ years with embedded operating systems, and 1+ year of GPU architecture experience.…See more The role involves developing new GPU features, optimizing performance, bringing silicon to production, debugging complex issues, and identifying future requirements for Pixel hardware.

AMD seeks a Principal Compiler Architect to lead the design and optimization of LLVM-based compilers for AMD GPUs, focusing on performance improvements for ML frameworks and HPC applications. The role involves working with architecture specialists on hardware bring-ups, debugging compiler issues, and developing groundbreaking compilation technologies for current and future GPU hardware.…See more The candidate will apply data-driven optimization strategies, stay current with hardware and software trends, and collaborate across teams to enhance compiler support for ML and HPC workloads. Required expertise includes strong C/C++ programming, understanding of GPU execution models, and ideally a track record of open-source LLVM contributions.