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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # GPU Software Kernel Development Engineer - **Company:** Qualcomm Technologies, Inc. - **Location:** San Diego, CA, United States (Remote available) - **Salary:** $178,200.0 - $267,400.0 - **Contract:** Permanent contract - **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Android Software Development, Systems Engineering, ARM Architecture, Unit Testing, C++ (Programming Language), Nvidia CUDA, Computer Programming, Computer Engineering, Data Structures, Linux, Device Drivers, DirectX (Software), General-Purpose Computing on Graphics Processing Units, Graphics Software, Linux Kernel, Machine Learning, Object-Oriented Software Development, OpenGL, OpenCL, Real-Time Operating Systems, Software Engineering, Pytorch, Deep Learning, Git, Information Technology, Machine Learning Operations - **Published:** September 19, 2026 - **Apply:** https://www.dice.com/job-detail/e3b23e0b-50b7-4498-96bf-8e9bdf69eaba ## About the Role Bachelor's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 6+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience. OR Master's degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 5+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience. OR PhD in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field and 4+ years of Software Engineering, Hardware Engineering, Systems Engineering, Electrical Engineering, Game Rendering, or related work experience. 2+ years of work experience with one or more programming language suitable for graphics (e.g., C++, C)., Master's Degree in Applied Mathematics, Computer Science, Computer Engineering, Electrical Engineering, Software Engineering, or related field. 2+ years of relevant GPU experience. 2+ years of experience working in a large matrixed organization. 2+ years of work experience in a role requiring interaction with senior leadership (e.g., Director and above). 1+ year in a technical leadership role with or without direct reports. Skills: * Strong C/C++ programming skills * Familiarity with a GPGPU API such as CUDA or OpenCL. * Understanding of data structures and algorithms, including object-oriented programming * Excellent interpersonal and analytical skills with the ability to work independently Optional, preferred skills: * Knowledge of Machine Learning Theory * Familiarity with a Deep Learning Framework such as Pytorch * Knowledge of GPGPU application development including Mathematical Operations and Image Processing. * Device driver development, including GPU or CPU * Programming experience with Graphics APIs such as OpenGL ES/Vulkan/DX11/DX12 * Exposure to Embedded systems and Real-time operating systems * Experience working with ARM architecture * Familiarity with Git or other SCM tools ## Description The Qualcomm GPU Software team is looking for talented software engineers interested in developing high performance kernels and runtimes for accelerating GPGPU operations such as Machine Learning and Image Processing.. The GPU Software team is responsible for delivering device drivers, extensions for Machine Learning and tools for Snapdragon chipsets, providing best in class performance, power, and features. This role will involve working with the Graphics software stack on Android, Linux and Windows. As a GPU Software Kernel Development Engineer, you are responsible for working with a team that is developing & optimizing Adreno GPU drivers for standard APIs such as OpenCL, OpenGL ES, Vulkan, and DirectX . You will be exposed to technology areas such as Image Processing and Machine Learning. This position requires close collaboration with hardware designers to understand, improve, and document hardware/software interfaces. Responsibilities will include the acceleration of Machine Learning operations for inference and training on the GPU and working on runtimes and frameworks that support Machine Learning and other GPGPU operations. Additional responsibilities are - writing samples and documentation, development of unit tests and working with our partners, external developers, and OEMs., Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).