gpu jobs in San Diego

Staff engineer leading architecture and evolution of Qualcomm's Ambient Perception Platform for always-on, context-aware AI on power-constrained edge devices. Responsibilities include designing low-power AI runtime platforms, multimodal sensing systems, secure data architectures, and heterogeneous computing frameworks across Android, Linux, Windows, XR, automotive, and IoT.…See more Requires 4+ years software engineering experience (or equivalent with advanced degree), 2+ years with C, C++, Java, or Python, and expertise in embedded systems, ARM/DSP/NPU optimization, and edge AI workload efficiency. Strong preference for 8–12+ years in software architecture, platform frameworks, and heterogeneous SoC development.

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.…See more 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 machine learning systems and models for production AI platforms, with focus on inference optimization, scalable ML infrastructure, and deployment. Responsibilities include building ML pipelines, optimizing model inference across hardware environments, integrating LLMs and models into APIs and microservices, designing data pipelines for ingestion and feature engineering, and collaborating cross-functionally on end-to-end ML solutions.…See more Requires strong software engineering fundamentals combined with deep ML expertise, proficiency in Python and at least one systems language (C++, Rust, or Go), and solid understanding of ML frameworks, transformer architectures, and model deployment systems.

Design, develop, and optimize machine learning systems for production AI platforms, including model development, inference optimization, and scalable ML infrastructure. Build training-to-deployment pipelines, optimize model serving for latency and cost, and integrate LLMs and generative AI models into microservices and APIs.…See more Develop data pipelines for ingestion, preprocessing, and feature engineering while collaborating cross-functionally with product, platform, and hardware teams to deliver end-to-end ML solutions.

As a Staff Graphics Software Engineer, you will architect, design, implement, and optimize GPU hardware, drivers, features, and tools for next-generation gaming, XR, and AI experiences. You will write complex code in C++, C, Perl, and Python across simulation, emulation, and on-device environments, develop comprehensive pre- and post-silicon tests, and collaborate with cross-functional teams and external stakeholders.…See more The role requires 4+ years of relevant software/hardware engineering experience (or equivalent with advanced degree) and deep graphics and GPU expertise. You will work independently with minimal supervision while providing guidance to team members and influencing key organizational decisions.

Lead architecture, design, and development of XR platform software (AR/VR/MR) on Snapdragon platforms, working across system architecture, embedded software, graphics, AI/ML, and computer vision. Translate product requirements into implementation specifications, drive architectural trade-offs for performance and power efficiency, and provide technical leadership across multiple teams.…See more Requires strong C++ proficiency, experience with heterogeneous computing systems (CPUs, GPUs, DSPs, AI accelerators), Android/Linux embedded platforms, and 8+ years of software engineering experience.