Staff XR/AI Systems Engineer
About The Position
Multimodal, always on perception and agentic AI are driving designs and adoption of new personal, wearable, and eXtended Reality platforms. Qualcomm's XR Labs team is seeking a skilled C++ and Machine Learning engineer to design and build software systems for distributed AI execution across interconnected wearable, XR, and companion devices. In this role, you will define the architecture, runtime behavior, and software interfaces that enable AI workloads to be coordinated across power-constrained personal devices, phones, and edge/server compute platforms. You will help design systems for workload distribution, device coordination, protocol design, multimodal data flows, and power/latency-aware execution, helping create next-generation personal experiences powered by collaborative AI. The job will involve researching, and evaluating available solutions, prototyping, and deploying them on our chipsets, as well as interfacing with HW, FW, and SW engineers as power-efficient implementation is being further optimized and integrated into our framework.
Requirements
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
- Strong performance in modern C++ programming with a focus on performance (5+ years of experience)
- Extensive expertise in machine and multimodal learning systems, and hands-on experience with relevant Python packages (5+ years)
- Experience developing embedded systems software and solutions, as well as debugging complex system-level issues (1+ years)
Nice To Haves
- Experience developing distributed compute systems and workload management.
- Strong understanding of performance, latency, throughput, power, and system tradeoffs.
- Experience developing on embedded Linux, Android, or related platforms.
Responsibilities
- Understanding typical AI workloads dispatched across several device constellations and use cases.
- Identify and evaluate suitable algorithms with an intimate understanding of performance/ requirements tradeoffs.
- Define interfaces and coordination protocols for task routing, synchronization, and state exchange across devices.
- Build, optimize, and evaluate multimodal sensing and inference pipelines, designing runtime policies for workload distribution based on latency, power, compute availability, etc.
- Help integrate implementation into an existing XR/personal device framework, collaborating with AI, connectivity, and platform system engineers.
- Document optimized design and benchmark resulting performance on target SoCs.
Benefits
- competitive annual discretionary bonus program
- opportunity for annual RSU grants
- highly competitive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees
