AR System Power and Performance Architect

As a System Power and Performance Architect at Reality Labs, you will lead system level power and performance modeling and requirement definition on upcoming AR products.

The ideal candidate would have: a) Strong systems skills, prior experience driving architecture convergence on complex consumer electronics products. b) Experience with SoC evaluation, computer vision and machine learning algorithms, and SW/FW. c) Able to collaborate with experts in different fields to make architectural tradeoffs.

We are looking for people who thrive in ambiguity, are able to map trade spaces, drive a concept into a prototype, and envision how a prototype could transition into a high-volume consumer product.

Responsibilities:

• Own system power consumption modeling, use case data flow and latency analysis.
• Define system power and latency requirements for subsystem teams and drive cross-functional workstream prioritization.
• Work with product management and engineering teams across HW, SW, and FW and connect the E2E technical stack and determine product feature sets.
• Communicate technology and product strategy effectively to both internal and external stakeholders.
• Help define long-term technology roadmap and guide management and partner teams on technology investments.

Minimum Qualifications:

• 10+ years of product experience in electrical, computer engineering, or equivalent.
• 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).
• Experience with system architecture across electrical, firmware, software, audio, silicon, and thermal engineering.
• Communication experience working with Product Managers and other hardware/software cross-functional teams.

Preferred Qualifications:

• Understanding of memory subsystems including mass storage and filesystem as well as volatile memory and memory management and their impacts on overall system performance.
• 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.
• Working knowledge across the following areas with experience in at least one: Imaging and audio interfaces, optical, sensors, modules, ISP and algorithm fundamental. Communications: network impacts on latency, throughput and Jitter, VoIP, video communications Computer vision and machine learning.