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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Systems Engineer, Staff - XR Labs - **Company:** Qualcomm - **Location:** San Diego, CA, United States (Remote available) - **Salary:** $158,400.0 - $237,600.0 - **Contract:** Permanent contract - **Skills:** Systems Engineering, Computer Vision, C++ (Programming Language), Profiling, Information Systems, Computer Engineering, Human-Computer Interaction, Python (Programming Language), Machine Learning, Network Architecture, Object-Oriented Software Development, Tensorflow, Software Engineering, Pytorch, Large Language Models, Virtual Reality, Deep Learning, Information Technology, Machine Learning Operations, Software Coding - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=5e22acbfb4d89435 ## About the Role * Hands-on development of deep learning models ( PyTorch /TensorFlow) and practical ML pipelines . * Hands-on experience with M ultimodal LLM s and VLM systems , including data curation, training , deployment, and optimization. * Experience in Multimodal ML including Audio, Speech, Video, User Input, and Personalization. * Strong coding skills in Python and C++ for production and on-device implementation. * Experience with on-device optimization (quantization, acceleration, profiling) on mobile or embedded platforms. Preferred Experience * Experience with Smartglasses and Augmented/Virtual Reality devices and applications * Experience in development, incl. testing and debugging on XR devices, mobile platforms or other embedded systems * Strong C++ skills with solid object - oriented design principles * Real-time c omputer graphics, * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience., Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. ## Description Candidates bring a deep understanding of engineering pipelines and solutions of computer vision and machine learning algorithms and technologies that are necessary for interactive, real-time, and immersive systems, including state - of - the - art M ultimodal Deep-learning methods combining Audio, Video, User Interaction & Personalization . They preferably have experience in systems design and implementations for real-time embedded and mobile platforms . Job description / responsibilities As an individual contributor you will have the following responsibilities. * Quickly understand latest academic and state-of-the-art algorithms on Multimodal LLMs, VLMs and related systems, prototyping on desktop and migrating to Qualcomm S o Cs. * Technical leadership in d esign ing , prototyp ing , and optimiz ing systems for Smartglasses and XR devices . * Understand Smartglasses and XR use-cases and concurrency constraints to drive multi-modal network architectures for combined processing to achieve minimal power consumption. * Communication with use-case stakeholders, customers, tech teams, and HW design teams to ensure optimal architectures for low-power features. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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