General Summary:
Qualcomm XR Research India is rapidly expanding to offer state of the art XR solutions. To scale and strengthen our offering in this domain, we are seeking a systems architect who will drive the next-generation technologies and architecture, shaping the future of Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) use cases.
Responsibilities:
Your responsibilities will span across technical leadership, system architecture, software architecture, implementation and compute analysis. Here are the key aspects of your role:
Drive technical workstreams related to perception, reprojection, split-processing and other XR technologies.
Identify and deeply understand the use cases for AR/VR/MR applications. Collaborate with cross-functional teams to translate use case requirements into detailed implementation specifications.
Define system and software architecture, considering hardware/software tradeoffs, compute and memory constraints. Optimize compute workload distribution across different subsystems on the SoC for efficient performance and power.
Validate and optimize architecture definitions through system-level use case modeling.
Prototype new use cases to understand the compute and memory requirements, and influence future software/hardware features and reference device specification.
Minimum Qualifications:
9+ years of experience in systems engineering with a bachelor’s degree in electrical engineering, information systems, computer science, or related field.
Hands-on experience in defining systems architecture and software design for multi-core architectures (CPUs, GPUs, DSPs, etc.), including performance analysis on heterogeneous architectures (core, multi-level cache, memory, etc.).
Proficiency in documenting call flows and data flows for both software and hardware components.
Strong communication skills and ability to work effectively in a team.
Preferred Qualifications:
8+ years of experience in systems engineering with master’s and/or PhD degree in electrical engineering, information systems, computer science.
Proven expertise in AR/VR, computer vision, machine learning, perception, camera technology, graphics pipeline, hardware design, SoC architecture, HW/SW partitioning, and system modeling (power, performance).
Proficiency in C++, and Object-Oriented SW design
Minimum Qualifications:
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