Wearables Systems Architect

BS in Electrical Engineering, Computer Engineering, or a related technical field
10+ years of product experience in electrical, systems, or computer engineering
Experience with architecture definition and/or systems engineering in areas such as electrical systems, silicon, firmware, audio, sensors, wireless connectivity, displays/optical systems
Fundamentals in computer architecture
Experience with rapid prototyping and proof-of-concept models
Proven communication skills working with cross-functional teams
Experience working with partnerships teams and external partners at both supply base and product levels
Work well in teams and thrive in ambiguity
In depth problem-solving skills, with experience mapping trade spaces and drive concepts into prototypes
Interest in new technology areas and willingness to collaborate with subject matter experts
Proven skills in System on Chip (SoC) evaluation, optical systems, sensors, computer vision (CV) algorithms, software, and artificial intelligence (AI)
Prior experience making architectural trade-offs collaboratively with experts in different fields
Understanding of consumer electronics and wearable systems across the stack

Define and architect platform systems across multiple subsystems (compute/memory, displays/optics, EE, sensors, audio, wireless connectivity, I/O, and firmware) from conception to production
Collaborate with system architects and SW engineering teams to document requirements for supported workloads and select/define compute silicon with suitable HW accelerators/cores
Maintain detailed specifications and assumptions for workloads to ensure alignment across teams when implementing new features
Conduct workload profiling to analyze system resource utilization metrics for existing and new software features on target compute platforms
Perform analysis and trade-off studies to inform architecture decisions
Develop engineering solutions for key architectural problems in early concept development, translating marketing requirements into product
Effectively communicate technology and product strategy to internal and external stakeholders
Guide management and partner teams on long-term technology investments
Establish hardware system metrics, standards, and tools
Drive the development of system requirements to create new AR and/or AI experiences, advancing technology and research roadmaps

MS/PhD in Electrical Engineering, Computer Engineering, or a 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, complex sensing systems
Proven skills in model system power and inform architectural decisions based on trade-offs (e.g., battery life, thermals, silicon roadmaps, power load profiles)
Understanding of memory subsystems, including mass storage and filesystem, volatile memory and memory management, impacts on overall system performance
Experience with Augmented Reality/Virtual Reality or systems that capture/process/deliver audio-visual, IMU, or other positional data streams
Prior experience creating system models to analyze compute, latency, and communication interface bandwidths across multiple subsystems in heterogeneous compute environments, with the goal of defining system architecture that meets product definition goals