neural-networks jobs in San Diego

Qualcomm seeks a Computer Vision Engineer to develop machine learning algorithms for optical flow, depth estimation, visual tracking, SLAM, and 3D reconstruction on Snapdragon platforms. You will own end-to-end algorithm development—from training state-of-the-art neural networks and managing large datasets to optimizing and deploying models on-device for real-time performance.…See more The role requires deep expertise in ML model architecture, hardware/software optimization, and the ability to analyze performance bottlenecks across Qualcomm's hardware/software stack. You will serve as a technical leader, influencing system architecture, working with hardware teams on silicon design, and driving solutions from research through production.

Design and develop machine learning models for computer vision domains including optical flow, depth estimation, visual tracking, SLAM, and 3D reconstruction on Qualcomm Snapdragon platforms. Own end-to-end algorithm implementation from research through production deployment, including training pipeline development, dataset creation, model optimization, and on-device performance tuning.…See more Lead technical direction across projects, influence system-level architecture, and partner with hardware engineers on silicon design. Requires 6+ years of software/hardware/systems engineering experience (or equivalent with Master's/PhD) and demonstrated expertise in on-device ML deployment, neural network optimization, and computer vision algorithm development.

Senior Staff engineer responsible for automotive software testing, focusing on functional safety and AI infrastructure for Snapdragon Digital Chassis platforms (telematics, digital cockpit, ADAS, autonomy). Will design and execute manual and automated test plans across embedded systems, multimedia, computer vision, and AI/neural network components using HIL/SIL methodologies.…See more Requires 6+ years of systems test engineering with deep expertise in test automation (C/C++, Python), Linux/QNX/Android kernels, and preferably automotive domain experience with AUTOSAR fundamentals.

As a Multimedia Engineering Intern at Qualcomm, you will work on system-level architecture, analysis, and optimization of multimedia technologies including camera, video encoding/decoding, audio, speech, GPU, and computer vision across Snapdragon devices. The role focuses on HW/SW co-design and power/performance optimization for billions of devices globally.…See more You'll contribute to projects in graphics, computer vision, imaging, speech/audio, video processing, or software tools, depending on your background and interests. The internship requires 11–14 weeks availability (May–September 2027) and a strong foundation in C/C++, Python, and domain-specific knowledge (signal processing, deep learning, or GPU/graphics experience preferred).

Design, create, and implement production-grade AI/ML systems for Defense and Intelligence clients. You'll architect scalable machine learning solutions handling fast-moving data, deploy models across multiple data modalities using frameworks like TensorFlow and PyTorch, and integrate solutions into mission environments.…See more The role requires 2+ years of ML engineering or data science experience, proficiency with ML frameworks and programming, and hands-on work in deep learning, computer vision, NLP, or signal processing.

Design and architect next-generation mobile computer vision and deep learning systems for Qualcomm's AI accelerators and heterogeneous platforms. Define hardware-aware algorithm implementations, deep learning engine architectures, HW/SW partitioning strategies, and performance/power optimization across CPUs, GPUs, DSPs, NPUs, and dedicated accelerators.…See more Analyze neural network workloads, drive top-down architecture exploration, and collaborate with hardware teams to translate state-of-the-art CV and AI models into efficient mobile implementations.

Build and optimize a high-throughput compute stack for reliable, production-grade data ingestion, processing, storage, and delivery. The role focuses on making stateful, multi-threaded pipelines fast and observable under real-world constraints—profiling bottlenecks, hardening recovery behavior, and productizing machine-learning models (neural networks, tree-based, unsupervised) to meet performance, reliability, and quality standards.…See more You will work alongside algorithm and infrastructure engineers, using measurements to drive performance improvements and ensure production interfaces remain durable as the system evolves. Requires strong systems-level experience with concurrency, I/O, and production debugging in C++, Rust, CUDA, or C; a track record of shipping production software; and hands-on expertise in resilient data pipelines and GPU computing.

Qualcomm seeks a Staff-level automotive software test engineer with 4+ years of systems test engineering experience to develop and execute test strategies for ADAS, autonomous driving, and AI/multimedia technologies. The role requires expertise in functional safety testing, HIL/SIL methodologies, test automation (C/C++, Python), and validation across embedded Linux, QNX, and Android platforms.…See more You will design and execute manual and automated test cases, debug complex issues, and collaborate cross-functionally on fast-paced automotive connectivity and autonomy programs.

Senior staff-level test engineer for automotive software systems, focusing on ADAS, autonomous driving, and AI infrastructure. Role requires designing and executing manual and automated test plans, with expertise in HIL/SIL methodologies, multimedia/computer vision/AI technologies, and automotive functional safety.…See more Candidate should have 10+ years of systems test engineering, test automation (C/C++, Python), and embedded systems experience across Linux, QNX, Android, and kernel/driver domains.

Staff Product Manager role owning the global ADAS/Autonomous Driving and Infotainment software product roadmap for Qualcomm's SoC platforms. Responsible for defining product strategy from conception through end-of-life, analyzing business opportunities, driving execution, and leading customer engagements.…See more Requires deep expertise in ADAS/AD software development, platform software (Linux, QNX, BSP), embedded software, middleware, automotive SW development, functional safety, and image/video processing. Will lead engineering discussions at principal-engineer level on BSP, drivers, OS, RTOS, AUTOSAR, ADAS middleware, IVI solutions, AI/ML processing, and functional safety standards, while managing cross-functional stakeholders across product management, engineering, business development, marketing, finance, and sales.

As a Sr. Staff Software Engineer on Qualcomm's AI Software team, you will design and develop the Qualcomm AI Runtime (QAIRT) SDK for IoT platforms, enabling efficient execution of deep neural networks, LLMs, and modern AI architectures.…See more You will lead feature development, mentor junior engineers, and collaborate across cross-functional teams to deliver scalable AI software solutions. The role requires 8+ years of software development experience with strong C/C++ and Linux proficiency, hands-on technical leadership, and the ability to keep pace with rapid industry and academic advances in machine learning and software engineering.