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Responsibilities
- Own platform system architecture definition across one or more subsystems including compute/memory, displays/optics, electrical engineering, sensors, audio, wireless connectivity, I/O and firmware from initial conception through prototyping, product development, and production ramp
- Across a portfolio of products, work with other system architects and SW engineering teams to understand and document requirements for workloads that need to be supported. Use this to support selection/definition of compute silicon that has appropriate HW accelerators/cores for these workloads
- Maintain detailed specifications and assumptions for workloads, to ensure common understanding and alignment across teams while implementing new features
- Conduct workload profiling to understand system resource utilization metrics for existing and new software features on target compute platforms
- Conduct detailed analysis and trade-off studies to inform architecture decisions
- Deliver engineering solutions for high-impact architectural problems in early phase concept development (ensuring translation of marketing requirements to product)
- Communicate technology and product strategy effectively to both internal and external stakeholders
- Guide management and partner teams on long term technology investments
- Create hardware system metrics, standards and tools
- Drive development of system requirements to create new AR and/or AI experiences, and help advance technology and research roadmaps
- Travel up to 15% domestically
Minimum Qualifications
- BS in Electrical Engineering, Computer Engineering other related technical field, 15+ years of product experience in electrical, systems or computer engineering
- Experience with architecture definition and/or systems engineering in one or more of the following areas: electrical, silicon, firmware, audio, sensors, wireless connectivity and displays/optical systems
- Fundamentals in computer architecture
- Experience in rapid prototyping and creating proof of concept models to share ideas and improve architectural decisions
- Communication experience working with Product Development engineers, Product Managers and other hardware/software cross-functional teams
- Experience working with partnerships teams and external partners at both a supply base and product level
- You work well in teams, brainstorm big ideas, work in new technology areas, thrive in ambiguity, are interested in mapping tradespaces, are will drive a concept into a prototype, and can take a prototype and transition into a high-volume consumer product
- Proven systems skills, experience with SoC evaluation, optical systems, sensors, CV algorithms, software, AI and will work collaboratively with subject matter experts in different fields to make architectural trade-offs
- Proven technical understanding of consumer electronics and Wearable systems across the stack
Preferred Qualifications
- Experience modeling system power and, using those models, inform trade-offs against key architectural decisions (e.g. battery life, thermals, silicon roadmaps, power load profiles)
- MS/PhD in Electrical Engineering, Computer Engineering, or other related technical field, or equivalent industry experience
- Experience in one or more of the following areas: firmware development, programming, computer vision, Android/Zephyr OSs, game development and complex sensing systems
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
- Experience with AR/VR or systems aimed at capturing/processing/delivering audio visual, IMU or other positional data streams
- Experience creating system models to analyze system compute, latency and communication interface bandwidths across multiple subsystems within a heterogeneous compute environment in order to define the system architecture to meet the overall goals of the product definition
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Understanding of memory subsystems including mass storage and filesystem as well as volatile memory, memory management and its impacts on overall system performance
$208,000/year to $289,000/year + bonus + equity + benefits
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