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Meta is seeking a Machine Learning SoC Architect to join its silicon team within the Infrastructure organization which is responsible for designing and operating all of Meta’s Data Centers.
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Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. This is a architect role in which you will be defining the architecture of the next generation of Machine Learning ASICs being built on the most modern process technologies and featuring industry leading performance and feature sets.
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The team is seeking a seasoned experienced Depth Module Architect to help define Reality Labs' next generations of depth modules for our world-leading VR and AR products. Meta Reality Lab (RL) brings together world-class experts to develop and ship groundbreaking products at the intersection of hardware, software, and content.
$204,000 - $281,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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This is an architect role in which you will be defining the architecture of the next generation of Machine Learning ASICs being built on the most modern process technologies and featuring industry leading performance and feature sets.
$173,000 - $249,000 a yearFull-timeExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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Facebook AR/VR is looking for a Silicon Power Architect who will work with a world-class group of computer vision and imaging architects and engineers. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
$173,000 - $249,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Work on algorithm analysis, performance analysis and architecture definition of Machine Learning ASICs∯*∯ Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.
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Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. Meta participates in the E-Verify program in certain locations, as required by law.
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Domain knowledge in one or more of power/performance tradeoffs, digital signal processing, ML networks, ML frameworks such as Pytorch. Drive the architecture definition of one or more of the following ASIC sub-systems: compute, memory, Network-On-Chip (NoC), collectives, debug etc.
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Identify appropriate workloads and micro-benchmarks to be used for performance analysis and drive this analysis on simulation and emulation platforms to define and validate the architecture. Collaborate with software and firmware teams to ensure that the ASIC meets end to end application performance goals while maintaining ease and efficiency of software development.
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We are growing our Machine Learning Hardware team within RL Silicon and are seeking engineers at all levels who will work with a world-class group of researchers and engineers using your skills to implement and contribute to the development and optimization of low power machine learning accelerators and state-of-the-art SoCs. Research Scientist, Machine Learning Hardware Architect (PhD) Responsibilities.
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