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Build and maintain distributed billing systems that resolve AWS entity data and determine Seller of Record for invoices, using DynamoDB, OpenSearch, and Kinesis at massive scale.
Builds scalable patient-engagement software for healthcare providers using C#, Java, or similar, within AWS’s AI-driven solutions team.
Develops and maintains test programs for Amazon’s Trainium AI chips, debugging hardware and software at multiple levels to ensure high-volume production quality.
Build AI-powered tools that simplify and optimize Amazon’s data integration workflows using C++, Java, or similar languages.
Design and build scalable authorization services (Maple, MySupport) that secure 24M employee records and 8.8B annual requests for Amazon’s People data platform.
Build and maintain AWS’s internal data platform, designing ingestion pipelines, distributed compute workflows, and storage systems to process trillions of events monthly using Kinesis, EMR/Spark, and Redshift.
Builds scalable GenAI platforms that let Amazon engineers create, publish, and discover AI skills and tools, connecting agents to internal systems to boost developer productivity.
Design, automate, and operate AWS EC2 infrastructure for government customers, troubleshooting issues and scaling cloud services while maintaining TS/SCI clearance.
Build and maintain distributed systems that coordinate live video streams for millions of viewers, using AWS services and live video protocols.
- Bachelor's degree in Electrical Engineering or a related field - Experience with post-silicon validation - Experience with SOC bring-up and post-silicon validation - Knowledge of software system interaction with…
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience - Experience in automating, deploying, and supporting large-scale infrastructure - Knowledge of TCP/IP networks -…
Build and maintain distributed systems that coordinate live video streams end-to-end for Amazon IVS, handling ingest, transcoding, and delivery at global scale using AWS services and live-streaming protocols.
Build and operate distributed systems that coordinate live video streams end-to-end, ensuring global availability and scalability for millions of viewers using AWS services and live-streaming protocols.
Builds on-device AI features for Alexa, including real-time voice-to-text, translations, and device-to-device connectivity using C++, Java, or similar.
Lead the end-to-end integration of high-performance networking SoCs for AWS Nitro, defining IP blocks, resolving CDC/RDC issues, and driving synthesis/timing closure with Verilog/SystemVerilog and scripting.
Build scalable data services and AI agent context layers for Amazon Advertising, integrating retrieval-augmented generation and real-time advertiser intelligence to power autonomous sales workflows.
Build AI-powered healthcare services on AWS, designing scalable cloud systems and optimizing ML models to improve clinical and administrative workflows for providers worldwide.
Builds and maintains large-scale device management infrastructure using AWS serverless services, handling 800M daily events and 1.5M endpoints while migrating legacy systems to a greenfield UEM platform.
Build data analytics platforms, AI/ML models, and automation tools to optimize AWS data center operations, ensuring uptime and cost efficiency.
- PhD, or Master's degree and 5+ years of quantitative field research experience - 5+ years professional experience working in wireless communications at the system or implementation level. - PhD with emphasis in…
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