qnn jobs in San Diego

Design and develop the end-to-end compilation pipeline for Qualcomm AI Hub Workbench, enabling PyTorch and ONNX models to compile into deployable artifacts targeting LiteRT, ONNXRuntime, and QAIRT across Snapdragon SoCs. Own graph optimization, backend dispatch across CPU/GPU/NPU, model catalog validation, and automated CI/CD pipelines for on-device ML deployment.…See more Requires 4+ years of software/hardware/systems engineering experience and proficiency in Python and C++, with preferred expertise in ML compiler infrastructure, MLIR/ONNX/TVM, torch.export, and on-device frameworks.

Staff or Senior Staff Software Engineer role leading design and development of Qualcomm's AI Stack (QAIRT/Genie) to enable efficient execution of generative AI models and large language models on low-power Snapdragon platforms. Responsibilities include developing core runtime components for resource-constrained inference systems, optimizing performance/accuracy/power consumption, debugging complex issues, and mentoring junior engineers.…See more Requires 5–8+ years of software development experience with strong C/C++ and Linux proficiency, plus knowledge of hardware acceleration and embedded AI deployment.

Lead AI software strategy and architecture for Qualcomm's automotive platform, directing deployment of computer vision, perception systems, LLMs, and generative AI workloads. Drive architectural decisions across multiple products and customer programs while mentoring cross-functional teams.…See more Ensure solutions meet automotive safety, performance, and reliability standards. Requires 8+ years of software/systems engineering experience with deep expertise in AI/ML, C/C++, and automotive software environments.

Principal Software Engineer leading AI software strategy and architecture for Qualcomm's automotive platform. Responsibilities include architecting and deploying advanced AI workloads (computer vision, LLMs, multimodal models, generative AI) on automotive systems, driving cross-functional technical decisions across AI, automotive engineering, and platform teams, mentoring engineers organization-wide, and ensuring solutions meet automotive safety, performance, and reliability requirements.…See more Requires 8+ years of software/systems engineering experience (or equivalent with advanced degree); preferred qualifications include 15+ years in AI/ML, embedded systems, or automotive software, expert C/C++ proficiency, and demonstrated experience with automotive safety standards (ISO 26262, ASPICE), edge AI inference, and Qualcomm AI frameworks.

Staff Machine Learning Engineer role focused on designing and maintaining Qualcomm AI Hub's end-to-end ML compilation pipeline, from PyTorch and ONNX model ingestion through graph optimization to deployable artifacts on Snapdragon SoCs. Responsibilities span compiler infrastructure (graph transformation, op validation, backend dispatch across CPU/GPU/NPU), model catalog automation and CI/CD, and developer tooling for profiling and debugging.…See more Requires 4+ years of software/systems engineering experience (or 3+ with a master's, or 2+ with a PhD), with preferred expertise in ML compiler concepts, ONNX/PyTorch export workflows, and on-device deployment frameworks.

Develop and optimize machine learning software for Qualcomm's AI Stack SDKs (QAIRT, Genie), enabling efficient execution of generative AI models and large language models on low-power Snapdragon platforms. Design core runtime components for resource-constrained AI systems, validate performance/accuracy across use cases, and debug complex issues in embedded AI environments.…See more Requires C/C++ proficiency, Linux development experience, and strong software engineering fundamentals; 2+ years experience for senior roles, project/internship experience for entry-level. Preferred: embedded systems background, generative AI model familiarity, hardware acceleration knowledge, and experience with Qualcomm AI Stack products.

Staff Software Engineer responsible for developing and leading the Qualcomm AI Stack software platform, including the QAIRT SDK and Generative AI Inference Extensions (Genie). The role focuses on researching state-of-the-art AI toolchains, performance and memory profiling for Edge-AI on embedded SoCs, and optimizing machine learning model execution on Snapdragon platforms across multiple operating systems.…See more You will lead software toolchain development, conduct system-level benchmarking, validate ML use cases, debug complex issues, and provide technical guidance to junior engineers while collaborating across cross-functional teams.

You will develop and implement machine learning techniques for Qualcomm's AI Software Platform, focusing on the QAIRT SDK and Genie generative AI inference extensions. Responsibilities include building in-house software tools and evaluating third-party AI toolchains/compilers, performing system-level performance and memory profiling across multiple OS platforms (Android, Linux, QNX, Windows, Zephyr), validating ML model accuracy, and debugging complex issues.…See more You'll collaborate with cross-functional teams on AI software toolchains and contribute to an embedded AI stack supporting edge-AI use cases on Snapdragon SoCs.

As a Senior Software Engineer focused on AI Tools, you will reauthor and optimize generative AI models (LLMs like Llama, Phi, Qwen, and multimodal models) for efficient execution on Qualcomm's on-device hardware. You'll translate hardware constraints into model-level transformations that preserve accuracy while enabling edge deployment, integrate inference acceleration techniques, and collaborate with compiler and quantization teams to move research prototypes into production.…See more The role requires deep implementation-level knowledge of generative AI architectures, strong Python proficiency in large typed codebases, and hands-on experience optimizing inference for resource-constrained environments.