Meta AR/VR Job | Hardware System Architect

Job(岗位): Hardware System Architect

Type(岗位类型): Engineering

Citys(岗位城市): Sunnyvale, CA

Date(发布日期): Before 2021-12-14

Summary(岗位介绍)

As a Hardware System Architect at Facebook Reality Labs, you will lead architecture on upcoming AR/VR/Wearables products, help drive the overall strategy & roadmap, and be a part of the teams designing, building, and testing prototypes for future consumer AR/VR/Wearables reality experiences. We want people who work well in teams, can brainstorm big ideas, work in new technology areas, thrive in ambiguity, are able to map tradespaces, are able to drive a concept into a prototype, and can envision how a prototype could transition into a high-volume consumer product.

The Reality Labs Hardware System Architect will lead the definition and convergence of complex and novel sub-system, and product architectures aimed at pushing beyond the state-of-the-art consumer AR/VR/Wearable systems. These can span new sensing systems, display/optics systems, input devices, and full VR headsets. The role requires expert technical communication with cross-functional teams across ID, hardware engineering, partnerships, supply chain and core technology groups to drive incubation of new technologies from proof of concept through integration into products for mass production. This role requires excellent technical understanding of consumer electronics and AR/VR/Wearable reality systems across the stack.

Starting with a broad engineering background in electrical, mechanical, optics, semiconductors, or related fields, we’re looking for a unique system designer or architect. The ideal candidate would have strong systems skills, previous roles driving architecture convergence on complex consumer electronics products, and experience with SoC evaluation, optical systems, sensors, CV algorithms, software, and be able to work collaboratively with experts in different fields to make architectural tradeoffs.

Qualifications(岗位要求)

10+ years of product experience in electrical, mechanical or optical engineering

Experience with architecture and systems engineering across electrical, firmware, mechanical, audio and optical systems

Experience integrating and delivering one or more of these technologies: displays, optics, silicon, sensors, thermal systems

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

Description(岗位职责)

Own system architectures encompassing compute, displays/optics, EE, sensors, calibration, and firmware from initial conception through prototyping, product development, and production ramp

Lead product architecture for roadmap products, communicate trade-offs, program concerns and technical direction

Drive the technical scoping and development of new technologies to deliver generation defining user experiences for future products on the roadmap

Conduct detailed analysis and trade-off studies for complex systems

Engage with technology project leads, and various component SMEs in creating the overall system architecture and platform as the starting point for product execution

Deliver engineering solutions hardest 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 & partner teams on long term technology investments

Create proof-of-concept physical prototypes

Collaborate with cross-functional teams on blank-slate and early-phase prototyping and product exploration, mapping it to strategic and product questions which need to be resolved

Create hardware system metrics, standards and tools

Drive development of system requirements to create new augmented/virtual reality experiences, and help advance technology and research roadmaps

Travel up to 15% time domestically and internationally

Additional Requirements(额外要求)

MS in Mechanical Engineering, Electrical Engineering, Computer Engineering other related technical field or equivalent experience

Experience in firmware development, programming, computer vision, OS, game development, and complex sensing systems

Experience modeling system power, and using those models to inform trade-offs against key architectural decisions (e.g. battery life, thermals, silicon roadmaps, power load profiles)

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 Virtual/Augmented reality 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

Working knowledge across the following areas with experience in at least one: Health: Heart Rate, Blood Pressure, Sp02, Pedometer, EMG Imaging: interfaces, optical, sensors, modules, ISP and algorithm fundamentals, CV/ML Audio: interfaces, sound file recording and reproduction (channel based, HOA etc.), multi mic topologies, beam forming, blind source separation, natural language processing Communications: network impacts on latency, throughput and Jitter, VoIP, video communications

Imaging: interfaces, optical, sensors, modules, ISP and algorithm fundamentals, CV/ML

Audio: interfaces, sound file recording and reproduction (channel based, HOA etc.), multi mic topologies, beam forming, blind source separation, natural language processing

Communications: network impacts on latency, throughput and Jitter, VoIP, video communications

General Machine learning (DNN, CNN, RNN)

Experience with influencing silicon vendors roadmaps and SOC features sets with emphasis on using advanced IP in the realms of Machine Learning, Graphics and Imaging

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