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Diverse Lynx
Austin, TX, United States
AI/Client Lead Austin, TX~Sunnyvale, CA Roles & Responsibilities Traditional AI 4+ Years experience in implementing Client solutions in the area of Time Series Modelling, Natural Language Processing, Computer Vision etc. Understanding of different supervised and unsupervised learning algorithms - Random Forest, Boosted Trees, Linear Regression, SV
Job Source: Diverse LynxAmazon
Austin
Description Custom silicon chips live at the heart of AWS Machine Learning servers TRN and INF, and enable machine learning for AWS's customers. We’re looking for skilled engineers to scale the software team that develops drivers for managing these cutting-edge system-on-chips (SoCs). These drivers forms the lowest level of the AWS infrastructure m
Job Source: AmazonAmazon
Austin
Description Custom silicon chips live at the heart of AWS Machine Learning servers, and our team builds the backend software to run these servers. We’re looking for someone to lead our system-on-chip (SoC) driver software team and help us deliver at scale, as we build the next generation of driver software. This is a hands-on, in-the-trenches softw
Job Source: AmazonNVIDIA
Austin, TX, United States
We are now looking for a Senior Tegra System Software Architect! Do you want to be a part of the Artificial Intelligence Revolution? Would you like to work with world-class systems architects and deep learning professionals to define the next generation CPUs and System on Chips? NVIDIA is developing processor and system architectures that are at th
Job Source: NVIDIAAmazon
Austin, TX, United States
Description Custom silicon chips live at the heart of AWS Machine Learning servers, and our team builds the backend software to run these servers. We’re looking for someone to lead our system-on-chip (SoC) driver software team and help us deliver at scale, as we build the next generation of driver software. This is a hands-on, in-the-trenches soft
Job Source: Amazonhims & hers
Austin, TX, United States
Hims & Hers Health, Inc. (better known as Hims & Hers) is the leading health and wellness platform, on a mission to help the world feel great through the power of better health. We are revolutionizing telehealth for providers and their patients alike. Making personalized solutions accessible is of paramount importance to Hims & Hers and we are focu
Job Source: hims & hersRealtor.com Careers
Austin, TX, United States
At Realtor.com®, we have among the most comprehensive and accurate coverage of real estate listings and the most engaged users across all the online real estate portals. Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone. Building your career? Build it better at Realtor.com®. Join us and he
Job Source: Realtor.com CareersLeanDNA
Austin, TX, United States
LeanDNA is helping solve the $150B problem that global manufacturers face–excess inventory tying up critical working capital and keeping manufacturing companies from being as efficient as they need to be. Without an effective way to optimize inventory, manufacturers are buying too much, too little, or placing inventory in the wrong place at the wro
Job Source: LeanDNAAustin, TX, United States
Summary:
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. These Data Centers are the foundation upon which our rapidly scaling business operates, and upon which all of our services such as Facebook, Instagram, Messenger, WhatsApp etc. are delivered to our worldwide user base consisting of approximately half of the world’s population.This silicon team is responsible for building hardware accelerators for Data Center servers, to offload the most computationally demanding workloads and execute them with higher performance and lower energy consumption as compared to running them on the CPU/GPU of the server. 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.
Required Skills:
Machine Learning SoC Architect Responsibilities:
Work on algorithm analysis, performance analysis and architecture definition of Machine Learning ASICs.
Map Data Center workloads to heterogeneous ASICs that contain multiple different programmable processors and hardware accelerators. Perform detailed calculations to specify computation throughput, memory bandwidth and latency
evaluate performance v/s area v/s power tradeoffs.
Drive the architecture definition of one or more of the following ASIC sub-systems: compute, memory, Network-On-Chip (NoC), collectives, debug etc. and chiplet based multi-die SoCs.
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.
Evangelize your innovative architectural solutions with your peers and leadership, while mentoring members of the architecture team.
Collaborate with cross functional teams working on RTL design, Design Verification, Firmware/Software development, Pre-Post silicon validation and Program Management to deliver first pass functional silicon on an aggressive schedule.
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.
Minimum Qualifications:
Minimum Qualifications:
Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
Experience and knowledge of Computer Architecture concepts such as microprocessor architecture, memory systems, on-chip interconnection networks, hardware/software partitioning etc.
20+ years of prior experience in defining and delivering multiple high performance ASICs into production, with focus on architecture definition and performance analysis.
Preferred Qualifications:
Preferred Qualifications:
Master's or PhD degree in Electrical Engineering, Computer Engineering or related field.
Domain knowledge in one or more of power/performance tradeoffs, digital signal processing, ML networks, ML frameworks such as Pytorch.
Programming in C or C++ with knowledge of mapping hardware algorithms to efficient C/C++ code.
Public Compensation:
$212,000/year to $291,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
Email Alert for Machine Learning SoC Architect jobs in Austin, TX, United States
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