XR Systems Technology Architect

About the Role

Qualcomm is a key enabler for the XR ecosystem with a dominant market share, building custom SoCs and technologies for XR products. The XR Systems organization defines the architecture of Qualcomm’s next-generation XR SoCs, serving Mixed Reality, Augmented Reality, and AI Glass product families. The role involves architecture definition, design, and verification of IPs and SoCs for XR products.

Key Responsibilities

• Working with lead XR OEMs and QC’s customer-facing teams to understand end-to-end use cases.
• Researching product family roadmaps to align internal IP and SoC architecture roadmaps.
• Collaborating with colleagues in the architecture team and across technology, IP, and SoC teams.
• Exploring architectures for power-efficient and performant mapping of use cases on future SoCs.
• Defining and optimizing use case data flows.
• Use case power modeling, estimation, and optimization.
• Working with SoC design and validation teams to ensure use case power and performance KPIs are met.

Requirements & Tech Stack

• Bachelor's degree in Electrical Engineering, Information Systems, Computer Science, or related field, and project experience in architecture/micro-architecture.
• Experience (2 to 15 years) in areas covering at least one of the following: IP and SOC design, DV, micro-architecture, architecture, camera, video, GPU, DSP, NSP (Neural Signal Processors), CPU, security, NOCs (Networks on Chip) and DRAM controller subsystems, power architecture, and power and performance estimation and optimization.
• Excellent problem-solving and communication skills.

Qualifications

• Master's and/or PhD degree in Electrical Engineering, Information Systems, Computer Science.
• Experience with Mixed & Augmented reality system design, constraints, and trade-offs.
• Deep understanding of system architecture aspects such as NOCs, DRAM controller performance issues, power domains and sleep modes of memories, IPs, and cores.
• Proven experience in conducting architectural trade-offs, power/performance analysis, and/or SW-HW trade-offs.
• Experience with system-level modeling (performance and/or power).
• Proficiency in scripting languages such as Python, Perl, Shell.

Keywords: Camera, GPU, CPU, SOC, SoC architecture, NOC, DDR subsystem, LPDDR IP, caches, security, virtual memory, development, RTL design, Computer vision, Artificial Intelligence, ML, DSP, AR, VR, MR, XR