Solutions Architect for AWS Public Sector, focusing on helping customers architect and implement solutions on the AWS platform. This role involves technical engagement, understanding customer needs, and ensuring successful project delivery.

Software Development Engineer role focused on building and architecting large-scale big data pipelines and data paradigms for advertising data at Amazon. The role involves designing fault-tolerant data pipelines, enabling real-time analytics and ML applications, and collaborating with data scientists and partner teams. It requires experience with big data technologies like Spark and AWS, and focuses on stability, reliability, and continuous improvement of the data platform.

This role focuses on developing and operating bioinformatics analysis workflows on AWS, evaluating novel bioinformatic approaches, originating data collection workflows, and partnering with laboratory science teams on experiment design and analysis. It emphasizes innovation and creating new products and services within Amazon's Special Projects team.

The Instrument Control Engineer will work on software for quantum computing devices, collaborating with physicists and hardware developers to characterize, calibrate, and operate quantum devices. Responsibilities include translating science requirements into software implementations, developing instrument drivers, and contributing to compiler backends for experimental execution. The role requires strong engineering principles and teamwork.

Amazon Payments is looking for a Business Intelligence Engineer to develop analytics and insights for global executive management teams. The role involves building new analytical experiences, focusing on merchant acquisition for global payments. Responsibilities include designing and implementing large-scale data structures, ETL pipelines using SQL, Python, and Spark, and collaborating on algorithms for statistical analysis and machine learning.

This role is for a DFT Design Engineer focused on custom SoCs for AWS Machine Learning servers, specifically AWS Inferentia and Trainium systems. The engineer will define and develop DFT architectures, work with design teams, perform RTL coding and verification, and utilize DFT tools for test pattern generation and silicon debug. The role requires experience with complex SoC designs and standard DFT practices.

This role is for a System Development Manager in Amazon's Catalog Engineering Service Support team. The primary focus is on managing a team of System Development Engineers to support and improve the systems that host and run Amazon's product catalog. Responsibilities include ensuring system availability, monitoring performance, driving operational efficiency, and leading projects. While the team works with technologies like Machine Learning, NLP, and Image Recognition, the role itself is focused on managing the support and operational aspects of these systems, not on developing or deploying AI models directly.

Develop and own SoC functional models end-to-end, including model architecture, integration, testing, and debug for AWS Machine Learning accelerators. Collaborate with architecture, RTL design, and software teams. Innovate on tooling for customers and drive performance improvements. Experience with C++ or SystemC is required, Python is familiar. No ML background needed, but opportunity to learn.

This Business Analyst II role focuses on turning operational data into insights, defining business requirements, and driving process improvements in compliance and verification workflows. The role involves data analysis using SQL and Python, building reports and dashboards, stakeholder communication, and project delivery within the Relay Product Excellence team at Amazon, which monitors transaction integrity for identity verification and account support.

This role focuses on leading the design, implementation, and management of AWS cloud solutions for application modernization, acting as a trusted advisor to customers on cloud adoption and emerging technologies. It involves collaborating with stakeholders, assessing current applications, proposing migration strategies, and ensuring adherence to best practices throughout the project lifecycle.

This role is for a Senior Manager leading a team of SOC integration engineers responsible for designing and optimizing ML accelerator chips and inference servers within AWS. The focus is on hardware design and integration for machine learning acceleration, not on the AI/ML models themselves.

Software Development Engineer II role focused on automating the launch strategy for Amazon's expansion into new countries, building customer-facing features in a distributed environment that impacts e-commerce revenue globally. The role involves designing, developing, and operating software solutions, mentoring junior engineers, and contributing to recruiting.

Software Development Engineer II at Amazon Business focused on expanding global reach by designing, developing, and implementing scalable solutions for diverse languages, cultures, and regions. The role involves the full software development lifecycle, architectural improvements, and mentoring junior team members, utilizing AWS technologies and machine learning.

Finance Manager for Amazon's Supply Chain Optimization Technologies (SCOT) team, focusing on strategic sourcing. The role involves supporting sourcing strategy, vendor selection, financial metrics, planning, forecasting, and reporting. It requires collaboration with operations research scientists, economists, machine learning specialists, software developers, and product managers, but the core function is finance management and analysis, not direct AI/ML development.

This role is for a Sr Strategic Sourcing Manager within AWS Infrastructure Services, focusing on managing relationships with strategic partners who design and manufacture hardware for AWS servers, storage, networking, power, and cooling. The individual will be responsible for cost, performance, contracting, and strategy, collaborating with cross-functional teams including hardware engineering, supply chain, and operations. The role involves negotiating complex agreements, developing sourcing strategies, and influencing senior leadership. While the role interacts with partners involved in generative AI hardware, the core function is strategic sourcing and supply chain management, not AI/ML development.

Senior Program Manager for Amazon's Middle Mile Transportation Technology organization, focusing on optimizing the transportation network using technology, big data, machine learning, and optimization techniques. The role involves end-to-end ownership of requirements, strategy, roadmap development, and execution, collaborating with engineering and business teams to deliver cost-effective and efficient solutions.

Manufacturing Engineer for AWS Trainium (ML accelerator) hardware, focusing on quality, reliability, and manufacturing processes with ODMs/CMs in Asia. Responsibilities include test validation, process improvement, line qualification, risk assessment, and root cause analysis for production and supplier defects.

The Controls Engineer will deploy and service data center building automation systems (BMS, EPMS) for AWS global infrastructure, ensuring data center health, managing vendors, and delivering projects for upgrades and new builds. This role involves collaborating with various internal teams and external vendors to maintain high standards of safety, security, and cost-efficiency.

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.

Team Manager for AWS Applied AI Solutions organization, focusing on leveraging AI/ML for business applications in physical stores (e.g., Amazon Go, Dash Cart). The role involves coaching, building, and leading high-performing teams to deliver world-class customer experiences and achieve operational KPIs. Responsibilities include people management, talent development, performance management, and fostering a positive team environment.

Software Development Manager for the Intelligent Cloud Hosting (ICON) team at Amazon, focusing on developing innovative software products to boost engineer productivity and improve service posture (security, availability, efficiency, compliance, maintainability). The role involves leading the design, implementation, and delivery of large-scale distributed systems, partnering with product and program management, and leveraging machine learning for statistical evaluation and pattern recognition. While AI/ML is mentioned as a tool for improvement, the core craft of the role is software engineering management and platform development, not direct AI/ML model building.

Senior Manager, Indirect Tax Planning role in Amazon's Pan EU Indirect Tax Planning and Advisory team. Focuses on VAT and other indirect taxes, providing business partnering to senior colleagues in retail, operations, and international expansions. Involves tax authority audits, legislative changes, and restructures. Requires strong technical skills in VAT and familiarity with other indirect taxes. Comfortable using process and technology in tax matters, including generative AI tools, though no coding is required.

Front-End Development Engineer for Amazon's One MHS Software Controls and Science team, focusing on building Human Machine Interfacing Platforms for automated material handling systems and robotics. The role involves designing and building scalable front-end infrastructure, writing automated UI tests, and instrumenting software with real user metrics. While exposure to Machine Learning is mentioned, the core responsibilities are in front-end development and automation tools for robotics.

The Data Collection Specialist role focuses on collecting, annotating, and processing natural language data for machine learning purposes. Responsibilities include executing data collection procedures, documenting issues, and contributing to improvements in data collection tools and protocols. The role requires attention to detail, organizational skills, and the ability to work in a fast-paced environment. Experience with data labeling, annotation, and understanding ML data processing needs are essential.

This role is for a Senior SOC Verification Engineer focused on custom silicon for ML acceleration in Amazon's datacenters. The engineer will be responsible for verifying these custom chip designs at the SOC level, integrating third-party IPs, creating testplans, writing testcases, executing coverage plans, and debugging bugs. The role also involves mentoring junior engineers and maintaining regression infrastructure. While the chips are for ML acceleration, the core function of the role is hardware verification engineering, not direct AI/ML model development or research.

Manager for AWS Data Center Planning and Delivery, responsible for end-to-end program management of high-visibility initiatives impacting infrastructure capacity delivery in the Americas. The role involves leading Capital Approval Request (CAR) program management, core business operations, knowledge management, training, and on-time delivery programs. A key aspect is building and scaling Generative AI automation capabilities to enhance operational efficiency and support organizational growth.

This role is for a Senior Business Development Manager in Amazon Fashion & Fitness, focused on driving brand growth and identifying new business opportunities. The role requires strong business management, negotiation, and relationship-building skills, with an analytical approach to decision-making. While the role mentions using generative AI tools to enhance workflow efficiency and identifying opportunities for AI to improve products/workflows, the core responsibilities are in business development and sales, not in building or shipping AI models or systems.

This role is for a VAT Manager in Amazon's Pan EU Indirect Tax Planning and Advisory team, focusing on German and EU VAT regulations. The candidate will act as a strategic business partner to finance, legal, accounting, and technology teams, providing guidance on legislative requirements and collaborating with tax authorities. While familiarity with emerging technologies like generative AI is mentioned, the core responsibilities are in traditional tax management, not AI/ML development.

This role is for a Network Operations Support position within AWS Global Connectivity Infrastructure Development, focusing on the design, planning, delivery, and operation of AWS global infrastructure. The candidate will support data center locations, manage capacity, automate and scale operations, and work with vendors and cross-functional teams to ensure smooth project execution and network growth. The role requires experience in computer hardware troubleshooting and networking.

Data Engineer II role focused on building and maintaining data platforms, clusters, and pipelines for Amazon's Transparency program, which protects consumers from counterfeit products. The role involves collaborating with analytics teams to implement advanced analytics and GenAI algorithms, but the core responsibility is data engineering.

This role is for a System Development Engineer at Amazon, focusing on the global fulfillment network and transportation logistics. The engineer will troubleshoot, diagnose, and fix production software issues, develop monitoring solutions, perform software maintenance, implement fixes for internally developed code, run SQL queries, and build tools for operational automation. They will also collaborate with development teams on software projects, enhance existing software, automate support processes, and document systems. The role requires quick learning, ability to handle multiple tasks, and identifying/preventing problems before they occur. Experience with large-scale infrastructure automation, programming in languages like Python or Java, Linux/Unix, and CI/CD pipelines is required. Experience with distributed systems at scale is preferred.

Data Engineer role focused on building and maintaining data infrastructure, pipelines, and models for Amazon's transportation network. The role involves working with large datasets, AWS data technologies, and supporting analytics and machine learning use cases.

ASIC Design Engineer for AWS's custom machine learning acceleration hardware (Inferentia). Focus on RTL design, microarchitecture, and optimization for performance, power, and area in data center servers.

Seeking a Senior SI/PI Engineer for AWS Annapurna Labs to design and validate next-generation machine learning ASICs, focusing on high-speed channel simulations, PCB layout optimization, and ensuring signal integrity for AWS datacenter platforms. Requires expertise in simulation tools, PCIe protocols, and PCB manufacturing processes.

This is an internship role focused on business development within Amazon Web Services (AWS) Startup Team. The intern will drive university engagement and startup acquisition, build strategic partnerships with universities, and manage the onboarding process for startups into the AWS Activate Program. Responsibilities include identifying, nurturing, and supporting early-stage startups from campus ecosystems, working with internal stakeholders, and ensuring alignment with key metrics. The role involves understanding startup founder needs and guiding them through the AWS journey, as well as supporting Joint Innovation Center (JIC) programs and cross-functional collaboration.

This role is for a Senior Delivery Consultant at AWS Professional Services, focusing on Application Modernization. The consultant will lead the design, implementation, and management of AWS solutions, acting as a trusted advisor to customers on their cloud journey. Responsibilities include gathering requirements, proposing migration strategies, and ensuring adherence to best practices throughout the project lifecycle. The role involves leading teams and mentoring others, with a focus on cloud-based solutioning and automation.

This role is for a Delivery Practice Manager within AWS Professional Services, focusing on leading a team of consultants to support enterprise customers in transformative projects. The DPM will act as a strategic advisor, manage business development initiatives, scope technical requirements, and ensure successful project delivery on time and within budget. While the role supports AI/ML projects, the core function is management and client advisory, not direct AI/ML development.

Software Automation Engineer role focused on creating ML and HPC automation, CI/CD flows, and scalable dashboards for a semiconductor platform within Amazon's Annapurna Labs. Requires experience in Python, OOP, Linux/Windows servers, and Git.

This role is for a Principal Engagement Manager within Amazon Web Services (AWS) Professional Services. The primary responsibility is to lead the delivery of complex cloud solution projects for clients, bridging business requirements with technical solutions. The role involves technical leadership, project management, risk management, and ensuring successful implementation of AWS-based solutions. While the role operates within AWS and may touch upon AI services, its core function is project and solution delivery, not direct AI/ML model development or research.

Senior Software Development Engineer to build and own end-to-end functional models of custom ML accelerator SoCs. This role involves developing models, infrastructure, and tooling for internal AWS teams, focusing on C++ and SystemC, with opportunities to learn ML at the hardware/system level. The primary deliverable is the functional model itself, which is a critical piece of software for the SoC development process.

Software Development Engineer responsible for defining, building, and supporting system design, architecture, and software for Ring IoT products. This role involves close interaction with business and cross-functional engineering teams, contributing to all aspects of the software development life cycle, and developing embedded software in C/C++.

This role is for a Senior Program Manager in Finance Operations at Amazon, focusing on Accounts Receivable performance in global transportation. It involves developing operational metrics, assessing priorities, driving global operational reviews, and improving processes. The role requires partnering with various finance, technology, and business teams to build scalable receivable processes and remove defects. Key responsibilities include defining KPIs, analyzing data to identify root causes of defects, solving escalations, and quantifying risks and opportunities. The role emphasizes strong communication, collaboration, and problem-solving skills in a fast-paced, ambiguous environment.

Account Manager for AWS India, focusing on driving adoption and market penetration within Global Capability Centers (GCCs). Responsibilities include building strategic partnerships, driving digital transformation, cloud migration, data-driven innovation, and Generative AI conversations. The role involves executive engagement, collaboration with extended teams, and ensuring adherence to Indian data sovereignty and regulatory requirements.

Account Manager for AWS India, focused on driving adoption of AWS cloud services within Global Capability Centers (GCCs). Responsibilities include developing and executing sales strategies, building business and technology partnerships, and engaging with GCC leadership to accelerate cloud migration, modernization, and data-driven innovation, including Generative AI conversations.

This Business Intelligence Engineer role focuses on analyzing seller data for Amazon's global selling business. The engineer will work with large datasets, partner with engineering teams, design and implement BI solutions, and create reports and dashboards to drive business decisions. The role requires experience in data analysis, data mining, ETL, data visualization, SQL, and Python.

Software Development Engineer role focused on building innovative advertising products for Amazon Ads, involving full-stack development with React, TypeScript, Kotlin, and AWS. The role requires end-to-end ownership across the product lifecycle, from design to operational support, with a focus on scalability and customer impact.

Senior Embedded Software Engineer to develop, integrate, and deploy advanced networking technologies for Amazon network cards, specifically AWS RDMA technology for ML and HPC customers, running on millions of servers worldwide as part of the Nitro system.

Software Development Engineer II role in Amazon's FinTech division, focusing on building a new, horizontally-scalable platform for intelligent cashflow tracking and anomaly identification across billions of financial transactions. The role involves architecture, design, implementation, and mentoring, with an emphasis on creating a robust, extensible system from scratch.