This role is for a Software Development Manager leading a team that redesigns and revamps a legacy system for customer concessions, aiming to incorporate AI-native approaches to improve customer remediation and support experiences. The focus is on large-scale software delivery, roadmap management, and fostering engineering excellence within a mature customer service technology organization.

This role focuses on Business Intelligence (BI) and Data Engineering for a supply chain product. The engineer will partner with stakeholders to understand insights needs, model complex problems, and use statistical and visualization techniques to derive insights. Responsibilities include developing metrics and dashboards, performing deep-dives, root cause analysis, and working with engineering teams on data capture and storage. The role requires strong SQL, Python, and AWS skills, with experience in data manipulation, statistical analysis, and BI tools like Tableau.

Software Engineer II at Amazon's Annapurna Labs focused on ML acceleration systems software. The role involves developing production software for initializing and monitoring advanced machine learning acceleration servers, including systems software for custom accelerator chips and device drivers. The team works on the physical systems (hardware) that execute ML algorithms, focusing on data paths, PCIe, SPI, and I2C, rather than ML algorithms themselves.

This role focuses on Business Intelligence Engineering, leveraging data mining, statistical, and machine learning techniques for segmentation and prediction to drive marketing initiatives and improve customer experience. It involves deep dives, data modeling, ETL, and creating visualization dashboards.

The Network Infrastructure Deployment Manager will be responsible for managing the deployment of network infrastructure for AWS global connectivity, focusing on technical requirements, project schedules, cost efficiency, and quality standards for fiber construction and DWDM network rollouts.

Software Engineer II role at Amazon's Annapurna Labs focused on system software for Machine Learning acceleration servers. The role involves developing production software for initializing, monitoring, and debugging hardware components like accelerator chips, focusing on low-level system software and drivers (C, C++, Python, Lua) rather than ML algorithms. It supports the integration of these servers into EC2 and works with hardware, test, and manufacturing teams.

Seeking an HBM/DDRx validation expert to validate AWS next generation ML Chips, Cards and server integration. The role involves executing HBM across Trainium platforms to improve HBM characteristics for AI servers. Responsibilities include working with vendors, understanding settings, writing/modifying tests, debugging, and collecting data. The role also involves collaborating with architects, design teams, and software engineers, supporting ongoing debug and operations of ML chips, diving deep into IP integration, packaging, silicon bring up, characterization, and validation of HBM subsystems, and developing scripts for daily tasks. The role requires a BS in Electrical Engineering, Computer Engineering, Systems Engineering, Computer Science or related field, with 5+ years of experience in Silicon development, including 3+ years in SOC/IO/Subsystems. Understanding of DDR/HBM at PHY and controller level, and knowledge of DDR/HBM training, timing parameters, and/or controller features are essential. Experience with physical design support, scripting (lua, bash, python), cross-functional triage, system-level debug, and working with third parties is also required.

This role focuses on designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor and providing technical expertise throughout the project lifecycle. It involves collaborating with stakeholders, proposing migration strategies, and ensuring adherence to best practices for scalable, secure, and performant cloud environments. The role also includes knowledge sharing within the organization.

ASIC Design Engineer for AWS Machine Learning servers, focusing on custom SoCs like AWS Inferentia. Responsibilities include RTL design, microarchitecture, optimization for performance, power, and area, and collaboration with cross-functional teams.

This role manages a team responsible for the development and implementation of network infrastructure for Amazon's low Earth orbit satellite network (Amazon Leo). The manager will oversee vendor relationships, enterprise and cloud network infrastructure, and ensure scalability. Key responsibilities include driving operational excellence, leading network deployments, managing team performance, and identifying automation opportunities, including the integration of AI and machine learning to enhance network automation.

Software Development Engineer role focused on designing and developing custom silicon and software for AWS Nitro cards, which accelerate IO and enhance security for EC2 instances. Responsibilities include contributing to Linux services, drivers, applications, and platform bringups, collaborating with cross-functional teams, and staying current with relevant technologies.

Senior Software Engineer on the AWS Compliance & Security Assurance team, responsible for building and scaling services that meet regulatory and customer security/compliance expectations. The role involves designing, building, and owning internal services for monitoring security/compliance attributes, streamlining audits, and continuous monitoring. It requires high-level engineering excellence, technical strategy leadership, mentoring, and operating systems at Amazon scale.

This role focuses on executing defined tasks, creating flow diagrams, and performing repetitive processes with high quality and minimal guidance. It involves managing assignments, prioritizing tasks, and using software tools for data capture, with a strong emphasis on following organizational processes and communicating results.

This role focuses on executing defined tasks, creating flow diagrams, and performing repetitive processes with high quality and minimal guidance. It involves managing assignments, prioritizing tasks, and using software tools for data capture, with a strong emphasis on following organizational processes and communicating results.

This role focuses on executing defined tasks, creating flow diagrams, and performing repetitive processes with high quality and minimal guidance. It involves managing assignments, prioritizing tasks, and using software tools for data capture, with a strong emphasis on following organizational processes and communicating results.

This role focuses on executing defined tasks, creating flow diagrams, and performing repetitive processes with high quality and minimal guidance. It involves managing assignments, prioritizing tasks, and using software tools for data capture, with a strong emphasis on following organizational processes and communicating results.

Software Development Engineer focused on embedded systems for Alexa-enabled devices like Echo Show, Fire TV, and Kindle. Responsibilities include system architecture, feature development, performance optimization, firmware design, and full lifecycle development. The role also involves driving the adoption of Generative AI tools within the software development lifecycle.

This role focuses on building business intelligence solutions and data pipelines for the AWS Partner organization. While it mentions "Agentic delivery" and "Agentic reporting tools," the core responsibilities revolve around data processing, reporting, and analysis using BI tools, rather than directly building or deploying AI/ML models or agents. The AI/ML aspect appears to be about leveraging existing AI capabilities for reporting delivery rather than the primary function of the role.

This role focuses on executing defined tasks, creating flow diagrams, performing repetitive tasks efficiently, managing assignments, and using software tools for data capture. It does not involve core AI/ML development or research.

This role manages maintenance operations for Amazon's global facilities, focusing on monitoring, predicting performance issues, and planning maintenance activities. It involves leading a team, developing business strategies, and optimizing digital maintenance systems for remote monitoring of building infrastructure and cold rooms.

This role is a Technical Account Manager (TAM) for National Security customers within Amazon Web Services (AWS). The TAM will act as a strategic technical advisor, helping customers adopt and utilize AWS services, manage their environments, and achieve value. The role requires deep technical acumen, customer-facing skills, and the ability to engage with senior leadership. It is not a sales role but focuses on technical guidance and customer advocacy. A TS/SCI security clearance with polygraph is mandatory.

Software Development Manager for AWS Bill Generation, leading the Bill Compute Service (BCS) team. This role involves managing engineers, driving strategy, and ensuring operational excellence for critical billing services that serve millions of customer accounts. The team's mission is to simplify bill generation and handle complex backend orchestration, segmentation, and routing. The role also includes modernizing the billing stack and deprecating legacy platforms.

The AWS Health, and Safety (H&S) team is seeking a Global Safety Engineer to support AWS Hardware Engineering and Design Teams. This role involves providing technical leadership for the development of products and installations to ensure they can be safely maintained and operated by AWS employees. The engineer will collaborate with various technical functions to manage internal equipment safety projects and partner with design engineering teams to provide safe design support throughout product and process design phases. Key responsibilities include ensuring compliance with health and safety regulations, implementing inherently safe design principles, providing H&S input during product development, conducting risk assessments, and offering technical guidance on machine and electrical safety.

This role focuses on leveraging data and analytics to generate business insights and improve operational efficiency within Amazon's Last Mile delivery network. The engineer will collaborate with various teams to design and develop analytic capabilities, define key metrics, build dashboards, and engineer data-driven processes. The role involves presenting analyses to senior leadership and shaping work for junior team members.

This role focuses on conducting investigations and ensuring compliance within Amazon's logistics operations, utilizing data analysis with Excel and SQL. It involves identifying process gaps, mentoring junior staff, and driving workflow improvements, requiring experience in audit, compliance, or investigations.

Senior Business Intelligence Engineer role focused on Private Pricing Analytics within AWS GDSP. Responsibilities include developing analytical and forecasting models, creating self-service dashboards and visualizations, and implementing automation solutions to drive process improvements. Requires strong business acumen, analytical background, and experience translating business requirements into actionable solutions. Basic qualifications include experience with statistical analysis, scripting for automation (Python), advanced SQL, information retrieval, data science, machine learning, data mining, working with business stakeholders, and data visualization tools (Tableau, Quicksight).

Software Development Engineer II role focused on designing and implementing full-stack technologies for FireTV, Fire Tablet, and Alexa devices to enhance customer content consumption experiences. The role involves creating innovative customer experiences using Android, cloud services, and frontend/backend technologies, collaborating with product and UX teams, and architecting solutions for user interaction and entertainment discovery.

This role is for an IT Support Engineer responsible for providing end-to-end technical support for Amazon's corporate employees, ensuring seamless operation of laptops, servers, and websites. Responsibilities include diagnosing and resolving hardware and software issues, managing IT assets, and mentoring team members.

Software Development Engineer II on the Product Detail Page team at Amazon, focusing on building and developing a highly scalable multi-tiered shopping application to enhance the online shopping experience. The role involves designing and developing next-generation technologies, emphasizing engineering excellence, quality, consistency, maintainability, site latency, efficiency, and security.

Software Development Engineer II on the Product Detail Page team at Amazon, focusing on building and developing a highly scalable multi-tiered shopping application to enhance the online shopping experience. The role involves designing and developing next-generation technologies, emphasizing engineering excellence, quality, consistency, maintainability, site latency, efficiency, and security.

Software Development Engineer role focused on building and developing solutions for managing a large fleet of AWS Accounts for hands-on workshops and events. The role involves designing and implementing fault-tolerant, scalable, and secure distributed cloud-scale systems using various AWS services. It also includes leveraging GenAI to automate operational tasks.

Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms.

Software Development Engineer II at Amazon, focusing on designing and developing scalable financial systems and solutions for global financial transactions using AWS cloud technologies. The role emphasizes architectural design, software development, testing, deployment, and advocating for engineering best practices. While AI/ML experience is a plus, it is not the core focus of the role.

This role is for a Hardware Design Engineer focused on the definition, design, and validation of AWS next-generation ML Chips and Cards, and their server integration. The engineer will work on PCIe and Serdes topics to create customized platforms for AWS datacenters, optimizing hardware for ML acceleration and large-scale server deployments.

This role supports the implementation and maintenance of automated yard systems and technology within Amazon's transportation operations. It involves troubleshooting hardware, software, and operating systems, piloting new tools, and identifying process improvements to enhance efficiency.

Data Engineer II role focused on building and operating scalable data pipelines and infrastructure for Amazon's transportation logistics. Responsibilities include ETL/ELT development, Redshift cluster management, technical design, and collaboration with data scientists and business teams. The role emphasizes data reliability, efficiency, and optimization for reporting, analysis, and machine learning workloads.

Software Development Engineer role focused on open data analytics and large-scale data processing frameworks like Spark, Trino, Flink, Hive, Hadoop, and HBase within AWS EMR. The role involves designing and building next-generation technologies, working on complex distributed systems and query engines, and contributing to open-source projects.

This role is for a Sr Technical Infrastructure Program Manager within Amazon OpsTech Engineering. The primary focus is on managing complex infrastructure builds and delivering cross-organizational initiatives. The role requires understanding implementation challenges, driving adoption, managing program strategy from concept to delivery, and communicating effectively with senior leadership. While IT infrastructure domains are mentioned, the core function is program management, not direct AI/ML model development.

Software Development Engineer on the EC2 Nitro Machine Learning Systems team, focusing on developing next-generation EC2 Supercomputers for high-performance training and inference workloads. Requires strong C/C++ or Rust development in a Linux environment, with experience in Linux package management, version control, automated builds, and unit testing. ML frameworks and cluster management experience are preferred.

Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms.

Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms.

Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms.

Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms.

Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams to drive development for new EC2 machine learning platforms.

Experienced SAP Digital Manufacturing Functional Architect to design, implement, and support SAP Digital Manufacturing solutions, focusing on efficient shop floor execution and integration with other systems. Requires expertise in SAP Digital Manufacturing components and manufacturing processes.

Seeking an experienced SAP Enterprise Warehouse Management Architect to lead the architecture, design, implementation, and support of SAP EWM solutions, ensuring efficient warehouse operations and seamless integration with enterprise platforms. Responsibilities include leading warehouse management processes, architecting solutions, conducting assessments, ensuring compliance, leading projects, developing documentation, monitoring processes, and providing guidance.

This role is for an Applied Science Manager at Amazon's Center for Quantum Computing, focusing on leading a team that develops scientific software for quantum electronic design automation. The goal is to innovate in physical design and simulation methods to advance the state of the art in computational science for realizing a fault-tolerant quantum computer. The role involves hiring and developing scientists, partnering with science teams, influencing HPC infrastructure development, and managing scientific projects.

The Applied Scientist II role at Amazon's Last Mile Business Analytics team focuses on optimizing delivery logistics and cost-effectiveness. The role involves developing models, creating metrics, managing projects, and working with technology teams to build new tools and systems. It requires a PhD or Master's degree with significant experience in operations research, analytics, and programming, with a focus on applying these skills to solve complex business challenges in a core operational space.