ai-inference jobs in San Diego

Lead product strategy and roadmap for AI-centric data center platforms and rack-level systems, including compute nodes, interconnect fabrics, power delivery, and cooling. Define system-level requirements by collaborating with silicon architects, systems engineers, and software teams while engaging directly with hyperscale and enterprise customers to gather feedback and drive early deployments.…See more Track product performance post-launch across system metrics like power efficiency and thermal headroom, and mentor a high-performing product management team.

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 end-to-end robotics system architecture spanning hardware, firmware, OS, middleware, AI runtimes, and cloud integration at the principal/director level. Define architectural principles for real-time behavior, performance, safety, determinism, and scalability across heterogeneous compute (CPU/GPU/DSP/NPU/MCU), and guide decisions across perception, localization, navigation, planning, manipulation, and control stacks.…See more Architect multi-sensor systems with precise timing/synchronization (PTP/IEEE 1588), sensor fusion pipelines, and ROS 2/DDS-based middleware. Provide technical leadership, mentorship, hiring standards, and influence multi-year platform strategy.

This role combines computational research, HPC system optimization, and AI/ML deployment support at UC San Diego's Supercomputer Center. The incumbent will develop and deploy AI inference services on cutting-edge HPC platforms (PNRP, Expanse, Voyager), support researchers integrating these services into workflows, collaborate on hardware integration (FPGAs, accelerators), maintain benchmark suites on Kubernetes clusters, and contribute to proposals characterizing system performance.…See more The position requires advanced skills in HPC performance analysis, machine-learning deployment on innovative hardware, complex computing environment troubleshooting, and hands-on Kubernetes experience.

Design and develop embedded platform software for CPU, DSP, and NPU processors in Qualcomm's Snapdragon SoC portfolio, optimizing for AI inference, computer vision, and multimedia workloads. Build high-performance drivers, runtime libraries, and multi-processor frameworks that unlock DSP and AI hardware acceleration.…See more Profile and optimize system performance at the microarchitecture level to achieve low latency and low power on resource-constrained platforms. Collaborate with hardware, tools, and firmware teams to evaluate design trade-offs and support commercialization with OEM partners.

Senior embedded DSP software engineer role developing platform software for CPU, DSP, and NPU processors in Snapdragon SoCs. Responsibilities include designing multi-processor multimedia and AI frameworks, developing high-performance drivers and runtime libraries, profiling and optimizing system performance for DSP acceleration, and collaborating with hardware and firmware teams on design trade-offs.…See more Requires strong C/C++ programming, real-time operating systems, driver development, and computer architecture expertise, with experience optimizing software on resource-constrained platforms.

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.

Qualcomm seeks a Software Test Engineer to validate on-device AI solutions across mobile, PC, and automotive platforms, with emphasis on generative AI models (LLMs, LVMs, LoRA, agentic workflows) and system-level performance across SoC components (CPU, GPU, DSP, NPU). The role involves designing end-to-end validation workflows, developing test automation frameworks in Python/Java/Shell, analyzing model outputs for accuracy and robustness, and conducting stability and performance testing.…See more Candidates should have 1–3+ years of software testing or AI validation experience (or be fresh graduates with strong AI/ML fundamentals), proficiency in Python, Java, and Linux, and solid understanding of AI inference, RAG systems, and multi-step reasoning pipelines.

As a Staff Software Engineer on Qualcomm's AI Software team, you will lead design and development of core features in the Qualcomm AI Stack (QAIRT and Genie), optimizing deep neural networks and large language models for execution on Snapdragon mobile platforms. You will drive AI runtime framework components for resource-constrained mobile systems, working closely with OEM partners and customer teams to deliver features, optimizations, and bug fixes required for product launches.…See more The role demands expertise in optimizing for power, memory, and performance constraints while maintaining high code quality through design reviews and mentoring junior engineers. You will debug complex system issues across software-hardware boundaries and proactively improve developer workflows, tools, and documentation.

As a Datacenter AI Systems and Solutions Engineer at Qualcomm, you will research, develop, and optimize end-to-end AI/ML solutions that integrate Qualcomm's AI inference accelerators with system software and ecosystem components. You will lead the design and deployment of production-ready Generative AI and LLM applications, perform model benchmarking and performance analysis, and serve as a technical lead for customer engagements on AI model optimization and inference tuning.…See more The role requires deep expertise in AI systems architecture, MLOps practices, and large-scale distributed systems, with hands-on proficiency in Python, ML frameworks, containerization, and orchestration platforms. You will drive system-level requirements, hardware/software co-design, and influence product direction through performance analysis and optimization strategies.