AI硬件产品硬件系统架构师

Ownership of 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 software 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 a 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

Deliver engineering solutions for high-impact architectural problems in the early phase of concept development (ensuring the translation of marketing requirements to product)

Communicate technology and product strategy effectively to both internal and external stakeholders

Drive development of system requirements to create new AR and/or AI experiences, and help advance technology and research roadmaps

B.S. in Electrical Engineering, Computer Engineering, and/or other related technical fields, with product experience in electrical, systems, or computer engineering

12+ years of experience with architecture definition and/or systems engineering in one or more of the following areas: electrical, silicon, firmware, audio, sensors, wireless connectivity, displays, and optical 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 partnership teams and external partners at both a supply base and product level

Experience working in cross-functional teams, navigating ambiguity, mapping trade spaces, and transitioning concepts from prototype to high-volume consumer products.'

Experience in systems-level engineering, experience with SoC evaluation, optical systems, sensors, CV algorithms, software, AI etc

Experience with consumer electronics systems spanning hardware, firmware, and software integration

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)

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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

M.S./Ph.D. in Electrical Engineering, Computer Engineering, or other related technical field, or equivalent industry experience

Understanding of memory subsystems including mass storage and filesystem as well as volatile memory, memory management and its impacts on overall system performance

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience with AI systems aimed at capturing/processing/delivering audio visual, IMU or other positional data streams

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Experience in one or more of the following areas: firmware development, programming, computer vision, Android/Zephyr OSs, game development and complex sensing systems

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People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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Individual compensation is determined by skills, qualifications, experience, and location.

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B.S.

in Electrical Engineering, Computer Engineering, or other related technical fields, with product experience in electrical, systems, or computer engineering.