Amazon

Technical Program Manager for EC2 Capacity Customer Experience (CCX) team, focusing on AWS Trainium (ML chip) demand intake, planning, and ensuring infrastructure execution. This role involves customer-facing responsibilities, driving key initiatives, and collaborating with engineering, supply chain, and finance to optimize capital efficiency and customer experience.

Software Development Engineer II for AWS Marketplace, focusing on end-to-end go-to-market strategy, business and technical expertise, and customer success. The role involves owning significant product portions, influencing strategy, and working on complex system software from front-end to platform services. Experience with asynchronous workflow, big-data, and AWS technologies is a plus.

This role is for a Signal/Power Integrity Engineer at Amazon's Annapurna Labs, focusing on the design and validation of AWS next-generation machine learning ASICs. The engineer will work on SI/PI topics, advanced packaging, PCB design, and power delivery systems, using simulation tools like Hspice, Cadence, and HFSS. The role requires expertise in high-speed digital design and collaboration across teams to ensure product quality.

This role is for a Senior Product Manager-Tech at Amazon, focused on setting the vision and strategy for how customers purchase and safely use products. It involves driving a multi-year roadmap, facilitating partnerships, and collaborating with various internal teams including engineering, design, and machine learning. The role requires experience in owning roadmap strategy, feature delivery, and managing technical products, with a focus on customer safety and compliance within a mature enterprise AI environment.

This role is for an ERP Solution Architect focused on designing and implementing SAP solutions, with a mention of integrating with Generative/Agentic AI and data/analytics domains. The core function is ERP architecture and implementation, not direct AI/ML model development.

Engineering Manager for a SoC Platform Software team at AWS, focusing on the Hardware Abstraction Layer (HAL) for ML accelerator chips (Trainium and Inferentia). The role involves managing a team of engineers to develop and maintain a single C++ codebase that compiles and runs across three different execution environments: chip verification, system emulation, and production microcontrollers. The team's work enables ML training across clusters of accelerators, but the role itself does not require ML expertise, focusing instead on platform software, hardware-software interaction, and API design.

This role focuses on fraud risk analysis and mitigation within Amazon's B2B Payments & Lending division. The analyst will conduct investigations, use data to identify risk patterns, and manage projects to improve operational efficiency. The role requires strong analytical skills, judgment, and experience with fraud-related systems and data analysis, including SQL and Python.

This role is for a Delivery Consultant on the Amazon Web Services (AWS) Professional Services team. The consultant will design, implement, and manage AWS solutions for customers, focusing on cloud architecture, migration strategies, and technical guidance. The role requires a strong understanding of AWS services and the ability to act as a trusted advisor to clients. A TS/SCI security clearance with polygraph is mandatory.

Applied Scientist role at Amazon Web Services (AWS) Center for Quantum Computing focusing on experimental quantum computing. Responsibilities include developing and enhancing quantum processor building blocks, devising new physical metrology techniques, and building experiments across the integrated stack (design, fabrication, cryogenics, signal chain, control stack). The role requires a strong foundation in experimental physics, a track record of scientific contributions, and experience with measurement techniques, with a preference for low-temperature condensed matter physics.

This role is for a Sr. System Development Engineer focused on the Global Engineering team within Amazon's fulfillment centers. The primary responsibility is to vet and test robotics and automated systems before large-scale deployment, using methodologies like test-to-fail, discrete event modeling, and site integration testing. The role involves designing and leading experiments, rapid prototyping, data analysis, and developing lab infrastructure to ensure automated systems meet performance targets. While ML and robotics are mentioned as technologies used in the broader context, the core of this role is in system development, engineering, and validation of these systems, rather than direct AI/ML model development or deployment.

This role is for a Senior UCIe PHY Expert to work on the design, integration, validation, and data center operation of AWS's next-generation machine learning silicon and servers. The focus is on hardware/software co-design for ML accelerators, specifically involving UCIe, SERDES, and high-speed analog technologies to create stable ML platforms. Responsibilities include collaborating with architects and software engineers, supporting debug and operations of ML chips, diving deep into IP integration and silicon bring-up, and developing scripts for daily tasks. The role also involves operational excellence, identifying and prototyping solutions, leading data collection, and mentoring team members.

This role manages a team of Data Collection owners who consult on ML/Gen AI data collections and own execution. The manager will drive business value by ensuring team efficiency, managing escalations, and building customer partnerships. They will also have the technical capability to step in and manage challenging collections.

This role is for a Sr. Camera Architect at Amazon Lab126, focusing on designing complete camera solutions for next-generation consumer electronics. The architect will own end-to-end camera system design, including sensor selection, optics, illumination, and ISP integration, working at the intersection of hardware, algorithms, and user experience. Collaboration with cross-functional teams like computer vision and machine learning is expected, but the core focus is on hardware architecture and system design rather than AI model development.

Finance Manager role supporting Generative AI services within AWS, focusing on financial planning, CapEx management, and strategic feature launches. Requires strong financial analysis, business partnership, and communication skills.

The AWS Support team is seeking a Senior Product Manager, Technical to own and drive the Well-Architected framework and Trust Advisor check contributions. This role involves driving partner and multi-cloud strategy, collaborating with engineering teams to build cohesive user experiences, and working with Sales and Account teams to increase top-line revenue. The product manager will be at the forefront of cloud technologies, interacting across the full breadth of AWS services.

Senior Software Engineer role focused on the design and development of new EC2 services for ML and HPC platforms, leading the SDN dataplane stack. The role involves technical leadership, architecture definition, and mentoring within the AWS Utility Computing organization.

Engineering Manager for SoC Firmware on AWS's custom ML accelerator chips (Trainium/Inferentia). The role focuses on the lowest layer of user-space software (HAL) that boots, configures, and manages hardware blocks on the chip. Responsibilities include managing a team, coordinating deliverables, owning bring-up for new chip tape-outs, prioritizing work, driving architecture, and shipping C++ codebase across multiple environments (simulation, emulation, production). The role requires deep expertise in low-level software, embedded systems, and hardware/software interaction, but not necessarily ML background.

Software Development Engineer role focused on building innovative solutions for Amazon's digital advertising products, working with partners and utilizing AWS, Kotlin, React.js, and Next.js. The role involves handling massive-scale streaming systems, machine learning, and data science to personalize user experiences and enable advertisers.

Senior ProServe Account Executive for Financial Services at AWS, focused on driving customer success and business growth through cloud transformation projects. This role involves engaging with new and existing financial services clients, understanding their business outcomes, proposing AWS Professional Services offerings, and ensuring successful project delivery. Performance is measured by revenue, bookings, and customer satisfaction.

This role focuses on developing and operating server-related firmware for AWS infrastructure, specifically for AI training and inference workloads. The engineer will work on Baseboard Management Controller (BMC) software, scripting, data center operations support, and Linux driver development, contributing to the backbone of AWS's Generative AI cloud offerings.

This role focuses on the hardware engineering for AWS cloud servers, specifically those designed for AI/ML and HPC workloads. The engineer will be responsible for the design, development, testing, and operation of accelerated server segments, working with interdisciplinary teams and external partners to deliver these products at scale. The role involves understanding customer needs, architecting solutions, and overseeing the fleet's quality and performance post-launch.

Research Scientist role focused on packaging and environmental R&D for quantum devices at Amazon Web Services (AWS) Center for Quantum Computing. Responsibilities include designing, modeling, and testing packaging solutions, developing environmental test standards, automating data collection, and collaborating with hardware engineers to improve qubit performance. Requires experience in patents/publications, programming, and cryogenic packaging design/testing or quantum hardware characterization.

Seeking a Senior Data Engineer to establish a reliable and accessible data platform, ensuring Operations Finance customers have trust in the data, technology, and tools to make data-driven business decisions. The role involves designing, implementing, and supporting scalable data infrastructure solutions and complex data models, integrating with various data sources, and curating data for reporting, analysis, and machine learning models. Responsibilities include building data pipelines and data-sets using Python, Airflow, and SQL, automating deployments with AWS tools, and working with AWS services like Redshift, Glue, and S3.

This role is a Senior Finance Analyst focused on supply chain and network capacity within Amazon's Outbound Transportation Finance team. The primary responsibilities include financial planning, analysis, building financial models, and providing financial insights to business partners. While the role mentions using Generative AI tools to accelerate financial analysis, automate reporting, and enhance decision-making, the core function is finance and supply chain analysis, not AI/ML development.

Data Engineer II role focused on building and maintaining an enterprise-grade data platform using AWS services, combining data lake and mesh architectures. Responsibilities include data modeling, ETL pipeline development, data governance, and supporting analytics and machine learning use cases for the Amazon Leo satellite broadband network.

This role is a Sr. Financial Analyst supporting AWS EC2 pricing strategy, deal evaluation, revenue planning, and P&L support. It will specifically drive pricing decisions for large-scale AI workloads and support complex customer deals involving both Core and Generative AI. The role requires strong analytical, business partnership, and communication skills, with experience in financial modeling, SQL, and working with large datasets.

This role is for a Sr. Vendor Manager focused on geospatial data vendors for Amazon's delivery network. The responsibilities include managing vendor relationships, contract negotiations, performance monitoring, and cross-functional collaboration with Product, Technology, Legal, and Finance teams. While the team leverages AI technologies like ML, CV, and LLMs, this specific role is focused on vendor management and commercial outcomes, not the direct development or deployment of AI models.

This role is for a Sr. Delivery Consultant at AWS ProServe, focusing on helping customers design, implement, and manage AWS solutions to achieve their business outcomes. It requires strong software/systems engineering, coding, automation, and design/architecture skills, with a focus on enterprise cloud adoption and migration strategies. The role involves acting as a trusted advisor and collaborating with stakeholders throughout the project lifecycle.

Software Engineer to build and own virtual platforms (full-system C++ and SystemC models) for custom ML accelerator chips (Trainium and Inferentia), enabling software development before silicon availability. Role involves modeling subsystems, improving infrastructure, and supporting software teams.

This role focuses on building and owning C++ models of custom System-on-Chips (SoCs) for AWS's machine learning accelerators (Trainium and Inferentia). The models are used by RTL designers, verification engineers, and software teams throughout the silicon development lifecycle, impacting chip design, verification, and production. The role involves translating architecture specs into C++ models, validating against RTL, developing test infrastructure, and contributing to performance modeling. While the chips are for ML accelerators, the core craft of this role is hardware modeling and verification, not direct AI/ML model development or research.

This role focuses on developing the low-level software stack (drivers, runtime libraries, communication software) for custom ML accelerators (SoCs). The engineer will work on SoC models, debug hardware/software interactions, and build tooling to support chip development and validation. While the chips are for ML, the role itself is systems software engineering, not ML model development.

This role is for a Sr. Lab Engineer at Amazon's Annapurna Labs, focusing on managing lab activities, improving lab automation, and providing technical support for machine learning hardware and software engineering teams. The role involves lab setup, maintenance, vendor management, and supporting product development projects, including AWS server integration. It requires strong problem-solving, organizational, and communication skills, with an emphasis on hands-on work and independent project delivery in a fast-paced environment.

Marketing Manager for Zappos, focusing on co-op marketing strategies with brand partners to drive revenue and enhance brand equity. Requires experience in marketing execution, data analysis, and relationship management.

This role focuses on designing and developing SOCs for AI workloads, specifically by automating design flows and building large-scale solutions to accelerate silicon development. The engineer will enhance and build design flows, collaborate with architects and designers, and evaluate/qualify new design tools.

Product Manager for AWS Private Pricing Program, focusing on tools, technology enhancements, and generative AI to improve internal and external customer experiences and scale pricing solutions.

This role focuses on Business Intelligence and Data Analytics within AWS Private Pricing. The engineer will be responsible for performance reporting, providing actionable insights, building analytical and forecasting models, creating dashboards, and driving automation to support business goals. The role involves collaborating with sales, finance, and other teams to identify reporting gaps and implement solutions, as well as executing complex ad-hoc analyses and architecting new processes. While the role mentions experience with data science and machine learning, its primary focus is on BI and analytics to support business operations, not on building or shipping AI/ML models as the core deliverable.

This role focuses on the physical design and layout of advanced IC packages for machine learning and data center ASICs. The engineer will execute package layout tasks from floor planning to tape out, working with various teams to meet performance and reliability targets. This involves implementing designs for advanced packaging architectures like 2.5D interposer and 3D-IC, performing routing for high-density interconnects, and collaborating on die-level optimization. The role requires experience with package layout tools and understanding of advanced packaging technologies and design rules.

Software Development Engineer III role focused on designing and leading the development of container platform integrations for ML accelerator resource management, including device plugins, DRA drivers, and operator development. The role involves solving scalability challenges, simplifying systems by deprecating legacy software, driving operational excellence, and elevating team quality through code reviews and contributions. The team enables customers to run training and inference workloads on Neuron at scale, owning integrations with Kubernetes, ECS, and Slurm.

This role focuses on enterprise analytics solutions, data migration, and building BI solutions using AWS technologies like QuickSight. It involves data extraction, transformation, cleaning, ETL processes, data modeling, and automation using SQL and Python. While it mentions data science and machine learning in passing, the core responsibilities are in Business Intelligence and data engineering, not direct AI/ML model development.

Shape the future of how brands merchandise related products on Amazon and help customers discover billions of related products in our catalog! Join the Relationship Data Services team to build the next generation of product relationships at Amazon scale. The Relationship Data Services team is at the core of Amazon.com. We are the authority for product data across Amazon's shopping experience worldwide. Our systems enable customers to discover, compare, and purchase products while empowering Amazon's selling partners to effectively list their products and relationships in Amazon's catalog. If you have evaluated different size, color or flavor variations on Amazon's product detail pages, you are interacting with data that is ingested, managed and vended by our systems! We are seeking a Senior Technical Program Manager to drive complex, cross-organizational programs that enable new types of product relationships across Amazon's catalog. In this role, you will define the systems and policies for how brands merchandise their products on Amazon while ensuring the best possible shopping experience for customers. You will enable Amazon to deliver innovative ways for customers to find related products, including newer versions, branded collections, and product lines. Working at Amazon catalog scale (billions of products and relationships), you will partner with engineering and product teams to build new catalog APIs, define data models, develop quality metrics, and drive data acquisition and quality improvement initiatives leveraging generative AI. This is a high-ambiguity, high-impact role requiring someone who can navigate complex technical and business trade-offs, influence without authority across multiple organizations, and balance tactical execution with strategic thinking. You will join a team of tenured technical and product leaders working directly in Amazon's core catalog pipeline, balancing how brands want to merchandise on Amazon with what's best for Amazon customers.

Senior Pre-Silicon SoC Modeling Engineer for AWS Machine Learning Accelerators. The role involves building and owning C++ models of custom SoCs (Trainium and Inferentia) used by RTL designers, verification engineers, and software teams. Responsibilities include translating architecture specs into models, validating against RTL, developing model-based test infrastructure, and contributing to performance modeling. The role emphasizes ownership and impact on silicon development, with a clear path into architectural modeling. No ML background is required as the domain knowledge will be learned on the job.

This role focuses on developing the low-level software stack (drivers, runtime libraries, communication software) for custom ML accelerators (SoCs) designed by Amazon's Annapurna Labs. It involves working at the hardware-software boundary, pre-silicon and post-silicon, on SoC models, validation, and performance optimization. While the chips are for ML training and inference, the role itself is systems software engineering, not directly building ML models or agents.

System Development Manager for AWS Incident Response (AIR) team in Seattle. Leads engineers in operational excellence and tooling delivery for incident response, detection, and observability. Owns incident response leadership, detection & observability improvement, cross-site coordination, post-incident analysis, and team development. Focuses on systems engineering and operational leadership to improve AWS resiliency.

Senior Technical Program Manager to drive complex, cross-organizational programs for Amazon's Catalog team, focusing on product relationships and merchandising. The role involves defining systems and policies, partnering with engineering and product teams, and leveraging generative AI to improve data acquisition and quality for billions of products.

Quantitative Researcher focused on understanding seller behavior data to inform product decisions for Amazon's Selling Partner Experience. This role involves end-to-end ownership of quantitative research projects, including survey design, statistical analysis, and synthesizing findings into actionable recommendations.

This role is for a Technical Program Manager III in Amazon's Fashion Subsidiary Tech (FaST) team, focusing on the customer front-end experience for Zappos.com. The TPM will drive solutions for ambiguous problems, create vision, and lead through influence, partnering with senior leadership and engineering teams. Responsibilities include building project plans, coordinating efforts, refining requirements, and acting as a catalyst for delivery. While the role mentions leveraging AI/ML tooling and understanding generative AI for workflow efficiency and product enhancement, the core function is program management for e-commerce customer experience, not direct AI/ML development or research.

This role is for a Senior Solutions Architect at AWS, focusing on the Media and Entertainment industry. The primary responsibilities include educating customers and internal stakeholders on emerging technologies and solutions, providing architectural guidance for customer projects, and creating content. The role requires extensive experience in technology domains, cloud computing, and IT implementation, with a preference for Games Industry experience.