AR System Power and Performance Architect
| Company | Meta |
|---|---|
| Location | Redmond, WA, USA, Sunnyvale, CA, USA, San Diego, CA, USA |
| Salary | $170000 – $240000 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- 8+ 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 (Example: battery life, thermals, silicon roadmaps and 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
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 Hardware, Software, and Firmware 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
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/MR 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