Senior Vendor Manager for Amazon Apparel, responsible for P&L ownership, category management, vendor relationship management, business planning, and cross-functional coordination to drive growth and profitability. Requires strong analytical, project management, and communication skills. Experience with AI tools is a plus.

This role is for a Principal Technical Program Manager at Amazon Fashion & Fitness Tech, focused on leading measurement and impact analysis for a returns reduction program. The core responsibility is to develop and implement data-driven frameworks to quantify the impact of customer experience initiatives on return rates, aiming to reduce measurement lag from 45 days to real-time predictive capabilities. The role involves significant cross-organizational influence, technical judgment in building consensus on measurement methodologies, and integrating returns awareness into operational processes. While the role mentions using generative AI tools as a preferred qualification, the core function is program management and data analysis for business impact, not direct AI/ML model development or deployment.

This role is for a Delivery Consultant focused on DevOps and AWS cloud solutions for US Intelligence Community agencies. The primary responsibilities involve implementing and architecting cloud solutions, understanding customer needs, and ensuring security best practices. It requires a TS/SCI security clearance with polygraph.

Seeking a Delivery Consultant for AWS Professional Services to design, implement, and manage AWS solutions for customers. This role involves providing technical expertise, architecting scalable and secure solutions, gathering requirements, proposing migration strategies, and advising on industry trends. The consultant will lead implementation processes, optimize performance, and manage risks. Requires a US Citizen with an active Secret security clearance and experience in cloud architecture and AWS services.

System Development Engineer II role focused on integrating robotics and automation within Amazon's global fulfillment network. The role involves designing, developing, and maintaining control software for mechatronic systems, implementing automated testing, optimizing motion control algorithms, and collaborating with cross-functional teams. It requires experience in modern software development practices, embedded systems, and deploying mechatronic systems.

Web Development Engineer II role focused on driving the vision, development, and optimization of Zappos' customer-facing digital shopping experience. This role involves owning both technical execution and operational content delivery across various site surfaces, collaborating with cross-functional teams, and ensuring a best-in-class customer experience. The ideal candidate is a builder with strong UI development skills and operational discipline.

This role involves designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor and providing technical expertise throughout the project lifecycle. It requires strong knowledge of AWS services, cloud architecture, and migration strategies.

This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services. 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.

This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will design, implement, and manage AWS solutions for customers, focusing on cloud migration, architecture, and technical guidance. The role requires a strong understanding of AWS services, project lifecycle management, and customer advisory. A TS/SCI security clearance is mandatory.

This role involves implementing innovative cloud computing solutions and solving technical problems for U.S. Intelligence Community agencies using AWS. The consultant will help these groups understand application architectures and integration approaches, ensuring projects are on a trajectory to success. The role requires knowledge of primary AWS services and experience implementing them in distributed environments, with a strong emphasis on cloud architecture and solution implementation.

Senior Design Automation Engineer for a quantum computing center, focusing on developing scientific software for automating, scaling, and optimizing the quantum device design process. Requires translating high-level science requirements into performant, scalable, and intuitive software implementations, including Python APIs, automation routines, and infrastructure-as-code setups. The role involves working closely with chip designers and scientists to improve design, simulation, and analysis tools, and leveraging HPC workloads. Experience with the full software development lifecycle and scientific computing is essential.

Commodity Manager for Amazon Robotics Supply Chain, responsible for strategic sourcing, supplier management, and ensuring technical/commercial specifications are met for robotics products. This role involves leading cross-functional teams, developing supply chain strategies, managing supplier relationships, and supporting new product introductions from concept to scaled deployment.

Software Development Engineer II role focused on developing embedded software for advanced robotics systems at Amazon Industrial Robotics. Responsibilities include controlling complex mechatronic systems, working with various components like motor control and sensing, contributing to system architecture, and developing solutions that balance performance and maintainability. The role involves working within cross-functional teams on firmware and real-time software, including design, testing, and debugging.

This role is a Technical Account Manager (TAM) for National Security customers within Amazon Web Services (AWS). The TAM acts as a strategic technical advisor and the 'voice of the customer', helping customers adopt and utilize AWS services effectively. Responsibilities include crafting and executing adoption strategies, providing technical guidance, ensuring operational health of AWS environments, and managing relationships with senior leadership. The role requires a strong technical background in IT operations and AWS services, with a focus on customer success and strategic planning, not sales. A TS/SCI security clearance is mandatory.

This role is for an Ads Account Manager III at Amazon Advertising. The primary responsibilities include managing relationships with programmatic trading desk managers, providing customer support and training, analyzing data to provide recommendations, and collaborating with internal teams to drive product evolution. The role requires experience in programmatic advertising, media strategy, campaign recommendations, performance analysis, and programmatic advertising technologies.

This role is for a Sr. Manager of Commercialization, Recipe Systems & Product Development in the food manufacturing sector. The primary focus is on leading cross-functional programs for end-to-end commercialization, recipe management, and product development. Key responsibilities include developing commercialization strategies, managing recipe systems, ensuring data integrity and quality, leading scale-up trials, and overseeing shelf-life validation. The role requires expertise in food science, manufacturing, and regulatory compliance to deliver scalable, high-quality food products.

This role is for a Principal Technical Program Manager at Amazon, focused on owning the strategic roadmap for end-to-end supply chain technology systems within Quick Commerce. The role involves identifying architectural gaps, driving convergence with other retail tech, managing a portfolio of supply chain systems, and influencing senior leadership. Key responsibilities include strategic planning, complex problem-solving in ambiguous domains, cross-organizational coordination, and leadership/mentorship. While the role mentions leveraging Generative AI to simplify workflows, the core function is program management within supply chain technology, not direct AI/ML development.

This role focuses on building and owning virtual platforms (full-system C++ and SystemC models) for custom machine learning accelerator chips (Trainium and Inferentia). The virtual platform enables software teams to start development before silicon is available. The role involves developing models, improving platform infrastructure (QEMU integration, simulation performance), and supporting software development teams.

This role is for a Data Engineer on the Deny Party Screening (DPS) team, which focuses on preventing denied parties from transacting with Amazon businesses. The engineer will design, implement, and support scalable data infrastructure and pipelines using AWS big data technologies to integrate data from various sources, curate data for reporting, analysis, and machine learning models, and support real-time data pipelines. The role involves collaborating with other teams, researching new technologies, and developing dashboards. While the role mentions machine learning models, its core function is data engineering and infrastructure, not direct AI/ML model development or research.

This role is for a Senior Business Intelligence Engineer focused on performance measurement and management within Amazon Logistics. The engineer will lead a team in building analysis and visualization tools, retrieving, integrating, and presenting data to improve delivery network efficiency. Responsibilities include partnering with stakeholders, data engineering, and software development teams, conducting deep dives, analyzing large-scale logistics data, and developing queries and visualizations. The role requires strong analytical abilities, business acumen, and experience with large datasets and AWS technologies.

This role is for a Sr. Business Intelligence Engineer focused on performance measurement and management within Amazon Logistics. The primary responsibilities involve leading a team to build analysis and visualization tools, retrieving, integrating, visualizing, and presenting data to improve delivery network efficiency. The role requires strong analytical abilities, business acumen, and experience with large-scale data and AWS technologies. While the role mentions "data science, machine learning and data mining" in basic qualifications, the core function is business intelligence and data analysis, not direct AI/ML model development or deployment.

This role is for a Sr. Manager to lead a team building functional and performance models of complex custom SoCs for AWS's machine learning accelerators. The focus is on chip development lifecycle, not AI model development itself. The manager will be hands-on, driving team execution and long-term modeling strategy, including expanding into performance modeling. No ML background is needed, but deep SoC modeling experience and technical leadership are critical.

This Business Analyst role focuses on financial risk mitigation using machine learning and big data solutions. The responsibilities include reporting trends, identifying opportunities, creating optimization models, and ensuring data accuracy. While the role mentions ML and big data, the core function is business analysis and reporting, not direct AI/ML model development or deployment.

Software Development Engineer (SDE) role focused on pre-silicon hardware/software co-development for machine learning chips. Responsibilities include working with architecture and design teams, writing bare-metal software for verification, and ensuring end-to-end functionality of the SoC and its subsystems. Requires experience in embedded software, system development, or chip design.

This role focuses on the design and optimization of hardware, specifically Design for Test (DFT) architectures, within Amazon's data centers. It involves RTL coding, verification, integration with design teams, and silicon debug, contributing to the development of custom chips and accelerators for AWS.

This role is for a Sr. ASIC Design Engineer focused on designing and optimizing hardware for AWS's machine learning servers, specifically custom SoCs like AWS Inferentia. The engineer will be responsible for integrating subsystems, implementing RTL, analyzing trade-offs for performance, power, and area, and ensuring design quality for high-performance, power-efficient chips used in ML inference.

This role focuses on architecting and implementing cloud infrastructure and automation, leveraging insights from machine learning to enhance security and compliance. It involves engaging with customers to provide architectural guidance, developing automation solutions with scripting languages, and collaborating with leadership to influence the AWS service roadmap. The role also includes creating reusable technical assets like reference architectures and best practice guides.

Senior Software Development Engineer role focused on building and improving the EC2 Windows OS platform for enterprise customers on AWS. The role involves developing next-generation services, large-scale distributed systems, and optimizing performance for high-performance computing workloads. Responsibilities include system-level programming, driver development (user/kernel mode), architecture design, CI/CD improvement, and collaborating with various teams. While the team mentions 'machine learning powered troubleshooting services', the core of this role is in OS and systems engineering, not direct AI/ML model development.

Software Development Engineer role at Amazon Ring Neighbors, focusing on building and operating large-scale cloud systems for a hyperlocal social networking app. The role involves shaping the definition, vision, design, roadmap, and development of core services, with a mention of a machine learning (ML) component ripe for future investment. The team uses Go, Python, AWS services, and works on backend services and web tools for internal customers. The primary focus is on software development, design, architecture, and cloud computing, with a future opportunity to invest in ML.

Finance Manager to partner with Amazon Fulfillment Technologies (AFT) to drive future innovations. Responsibilities include financial and strategic analysis, developing recommendations, influencing business owners, and supporting decision-making in a fast-paced environment. Requires a Bachelor's degree in finance or related field and 5+ years of finance experience.

This role is for a Senior Business Intelligence Engineer at Amazon Logistics, focusing on designing and building automated reporting and dashboards from complex data to identify strategic initiatives. The role involves working with large datasets, SQL, and BI tools, and collaborating with various internal teams to deliver data-driven solutions. While the team aims to leverage technology to improve learning outcomes, the core function of this role is data engineering and business intelligence, not direct AI/ML model development.

Software Development Engineer role focused on designing, developing, and validating firmware for AWS-specific solid-state drives (SSDs). The role involves working with NAND vendors, controller vendors, and internal hardware/software teams to optimize SSD performance, reliability, and observability within the AWS environment.

The role is for a Design Verification Engineer focused on machine learning hardware within Amazon's cloud server platforms. Responsibilities include verifying hardware and software solutions, developing verification plans, and measuring progress towards customer metrics. The role requires a Bachelor's degree in Electrical Engineering and experience in identifying and debugging bugs at various levels of logic. Preferred qualifications include a Master's degree and experience with formal verification techniques and specific ISAs.

Software Development Engineer role focused on Last Mile Technology within Amazon Logistics. The role involves building and optimizing systems for package delivery, route optimization, and fleet management, leveraging AI and machine learning. The primary focus is on the engineering and deployment of these systems into a customer-facing product.

This role is for a Design Verification Engineer focused on the hardware infrastructure for Amazon Web Services (AWS) data centers, specifically within the Cloud-Scale Machine Learning Acceleration team. The engineer will be responsible for verifying and validating hardware and software solutions, developing verification plans, and measuring progress towards customer metrics. The role emphasizes working with emergent technologies and improving product performance, quality, and cost.

This role focuses on designing, developing, and operating AWS cloud offerings for AI/ML and HPC workloads, specifically involving accelerated servers for AI training and inference. The engineer will work with interdisciplinary teams and partners to bring these servers to data centers and oversee their performance and quality post-launch.

This role leads global Ad moderation and relevance quality operations, focusing on audit excellence, defect reduction, and advertiser experience. It involves overseeing human and machine judgment systems, managing advertiser appeals, and influencing product/policy roadmaps. The role also includes providing human-in-the-loop training data for ML models and managing a large global team.

The role is for a Design Verification Engineer focused on machine learning hardware in AWS data centers. Responsibilities include verifying hardware and software solutions, developing verification plans, and measuring progress. The role requires a Bachelor's degree and experience in design verification using System Verilog and UVM.

System Development Engineer focused on integrating robotics and automation within Amazon's global fulfillment network. The role involves developing core machine control logic for industrial edge devices, designing system controls architecture, and integrating control systems with various hardware and software services. It requires experience with PLC-based controls, machine control code development, and a background in industrial automation.

This role is for a Sr. Formal Verification Engineer focused on hardware design and optimization for cloud server infrastructure, including machine learning inference products like AWS Inferentia. The responsibilities involve developing formal verification plans, implementing and verifying IP architectures, and using formal methods and abstraction techniques. While the role touches on ML inference hardware, the core craft is hardware design and verification, not AI/ML model development or research.

System Development Engineer role focused on building and maintaining tools for automating the deployment, management, and monitoring of complex material handling systems, including conveyor networks, robotic workcells, and industrial control systems. The role involves innovating in building Human Machine Interfacing Platforms and a mission-critical equipment visualization platform, collaborating with various engineering teams and product managers.

This role is for a Senior Process Engineer in Amazon Robotics' manufacturing and technical operations. The primary focus is on process optimization, cost reduction, and developing manufacturing/test processes for new product introductions. The role involves implementing technology improvements, performing process reviews, and writing operational planning documents. While the company works with AI and robotics, this specific role is centered on manufacturing process engineering, not direct AI/ML development.

This is an intern/co-op position for a Process Engineer within Amazon Robotics, focusing on manufacturing process optimization, data collection, cycle time studies, root-cause analysis, and creating training modules. The role involves creating business process models, gathering requirements, researching production system issues, supporting supplier improvements, and participating in Lean initiatives. While the role is within Amazon Robotics and mentions machine learning and computer vision as technologies used by the broader team, the core responsibilities of this specific intern role are focused on process engineering and optimization, not direct AI/ML model development or deployment.

This role is for an intern/co-op on the Robotics Deployment Engineering team at Amazon Robotics. The primary responsibilities involve overseeing the installation, troubleshooting, integration, and commissioning of Amazon Robotics equipment in fulfillment centers. This field engineering role requires strong technical skills in mechanical, electrical, and networking systems, as well as software configuration. The candidate will collaborate with various internal and external stakeholders, develop technical documentation, and drive continuous improvement initiatives. The role involves significant travel and requires a foundational knowledge of robotics and networked systems.

This is an internship/co-op role in Amazon Robotics focused on supply chain processes, including planning, sourcing, logistics, and systems. The role involves understanding and improving existing processes, leading automation projects, developing metrics, and supporting new product introductions within the supply chain organization. While the company utilizes AI and ML in its robotics, this specific role is centered on supply chain operations and business process improvement, not direct AI/ML model development.

This is an internship/co-op role for an Industrial Engineer focused on robotics manufacturing and technical operations. The role involves managing projects, developing project schedules, managing risk registers, gathering and analyzing data for KPIs, and driving continuous improvement initiatives using lean principles. The position is within Amazon Robotics, which utilizes various automation technologies including machine learning, but the core function of this role is industrial engineering and project management within a manufacturing environment.

This role is for a Sr. Hardware Engineer focused on the design, definition, and validation of AWS's next-generation ML Chips and Cards, including server integration and PCIe/Serdes topics. The engineer will optimize hardware for data centers and work with cross-functional teams on large-scale server deployments.