Lead a machine learning engineering team designing Visual Language Action Models, Vision Language Models, and Large Language Models for autonomous driving and infotainment on Qualcomm's Snapdragon Ride platform. Optimize deep networks for accuracy-latency trade-offs on resource-constrained edge devices, focusing on low-level perception, end-to-end autonomous driving (L2/L3 ADAS), and multi-modal sensor fusion.… Drive cross-functional collaboration with automotive OEMs and internal Qualcomm teams while building a world-class AI/deep learning engineering organization. Requires 6–8+ years of systems engineering or machine learning experience (depending on degree level), with hands-on expertise in deep learning network design, quantization, and deployment on edge AI accelerators.
edge-ai jobs in San Diego
Qualcomm seeks a Staff Product Data Manager for AI Platforms & Systems Solutions to define product strategy and drive cross-functional decision-making for edge AI/ML platforms, inference runtimes, and agentic frameworks. The role requires deep technical expertise in Windows-ecosystem AI platforms, LLM/VLM models (1B–150B range), edge AI APIs/SDKs, and AI middleware frameworks, combined with the ability to work independently, influence senior leadership, and manage complex multi-year initiatives across matrixed organizations.… Responsibilities include assessing feasibility, translating innovation into shippable solutions, negotiating partnerships, and authoring technical specifications—all with minimal supervision and significant organizational impact. The ideal candidate brings 10+ years in product management or technical roles, experience shipping AI platforms, familiarity with standards bodies, and strong communication skills to convey complex information to diverse audiences.
AI Research Scientist role focused on developing and optimizing large language models for on-device deployment on smartphones, IoT, and automotive systems. Responsibilities include researching and prototyping model compression, quantization, pruning, distillation, and inference optimization techniques.… The role involves collaboration with silicon, software, and product teams to design experiments, benchmark models, and translate research into production-ready solutions for 5G and edge AI applications.
Design and optimize machine learning models for deployment on edge devices including smartphones, IoT, and automotive platforms. Build end-to-end experimentation pipelines, benchmark models on real hardware, and work with cross-functional teams to move innovations into production.… The role emphasizes model optimization for constrained hardware environments, hardware benchmarking, and research contributions through publications and patents.
Qualcomm seeks an ML/computer vision engineer to develop and optimize AI-accelerated vision algorithms for edge devices (mobile, automotive, robotics, AR/VR). You will design algorithms for depth estimation, optical flow, video super-resolution, 3D reconstruction, and SLAM, then optimize deep learning models for resource-constrained SoCs.… The role spans algorithm research, model architecture design, performance profiling across memory/compute/power/bandwidth, and cross-functional collaboration with hardware and systems teams to ship production models for key customer segments.
Design and develop embedded software stacks for complex Qualcomm SoCs, optimizing for Edge AI and multimedia use cases. Architect system-level software solutions across multiple processor cores, memory hierarchies, and specialized accelerators (CPU, NPU).… Collaborate with systems, hardware, and test engineers to define software architecture and enable best-in-class performance/power characteristics. Lead cross-functional teams to build SDKs and open-source libraries for customer and community development.
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.… 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.
As a Software Engineer focused on Edge AI/Gen AI, you will design, develop, and validate embedded and cloud edge software applications for Qualcomm's cutting-edge products. You'll implement small software features, participate in coding, unit testing, debugging, and code reviews while collaborating with systems, hardware, and architecture teams.… The role requires proficiency in languages such as C, C++, Java, or Python, along with experience in source code management, APIs, and database systems. You will work under supervision on tasks that involve multiple steps, planning, and problem-solving to meet project deadlines.
Founding Product Engineer
ExpiredFounding Product Engineer to build a greenfield physical AI product at Netradyne, working across full-stack infrastructure, product UX, and agentic AI features. You'll design multi-tenant cloud and edge systems on AWS with real-time dashboards, compliance analytics, and AI-powered agent orchestration for safety operations.… Expected to own end-to-end problems—from device to cloud to customer—with 7+ years of software engineering across backend (Go, Python, Java), cloud infrastructure (containers, CI/CD, distributed systems), and modern frontend (TypeScript/JavaScript). Direct customer collaboration and rapid iteration in the field required; fluency with AI-assisted development tools (Claude, Cursor) expected.
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.… 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.
As a Staff Product Data Manager for AI Platforms & Systems Solutions at Qualcomm, you will own the product strategy, definition, and lifecycle for AI platform products and specifications spanning model enablement, agentic systems, orchestration runtimes, and open protocols. You will develop comprehensive plans of record including schedules, budgets, and resources, directing products from conception through end of life while functioning as a central resource across systems, engineering, standards, quality, marketing, and partner teams.… The role requires deep fluency in the Windows edge-AI stack, with technical depth across AI/ML models, agentic systems, orchestration engines, standards development, and hands-on experience delivering Windows-based AI products leveraging local accelerators (CPU, GPU, NPU). You will translate emerging model, agentic, and orchestration trends into differentiated product and specification roadmaps.
Design, develop, and optimize embedded software stacks for complex SoCs with multiple core types, memory hierarchies, and bus infrastructure at Qualcomm. Lead architectural decisions for Edge AI and multimedia use cases, balancing performance and power efficiency while creating SDKs for customer development.… Collaborate with systems, hardware, and test engineers to define software architecture and drive optimization for ARM CPU and NPU acceleration. Requires 6+ years of software engineering experience (or 5+ with a Master's degree, 4+ with a PhD) and 3+ years with languages like C, C++, Java, or Python.
Qualcomm seeks a Staff Embedded Software Engineer (6+ years) to design, implement, and maintain real-time operating system (RTOS) software components across QuRT OS and Zephyr RTOS platforms deployed on Qualcomm SoCs. You will own complex system-level issues, lead feature design from requirements through deployment, perform deep root-cause analysis on crashes and traces, and collaborate across hardware, systems, validation, and software teams.… The role emphasizes technical leadership, ownership of large technical areas, and raising team quality through example while leveraging modern development tools and automation. Strong hands-on experience with RTOS concepts, C/C++, low-level system software, and embedded development is required.