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.

This role is for a Sr. Systems Development Engineer on the AWS Region Services team in Sydney, Australia. The role involves deploying and operating in a Linux/Unix environment, systems development, design, software development, operations, automation, and process improvement. While the team works with cloud computing, AI, and ML, the core responsibilities of this specific role are focused on systems engineering and operations rather than direct AI/ML model development or deployment.

Senior Business Intelligence Engineer role focused on designing and implementing data pipelines, automated reporting, and BI infrastructure using AWS and internal tools. The role involves owning analytics strategy, developing metrics frameworks, and mentoring junior team members within the AMXL Japan logistics network.

Internship opportunity at Amazon Web Services (AWS) focusing on cloud computing solutions. The role involves gaining hands-on experience, developing business acumen, and learning about Amazon's culture. Specializations include DevOps, Cloud Infrastructure Architecture, Application Development, Data & Analytics (potentially using ML/AI), and Security Consulting. The program offers professional development and the chance to obtain AWS certifications.

Entry-level role for recent graduates to join the AWS Professional Services team, focusing on cloud computing, business acumen, and AWS culture. Specializations include DevOps, Cloud Infrastructure, Application Development, Data & Analytics (potentially using ML/AI), and Security.

Delivery Practice Manager for AWS Professional Services, focusing on managing early-in-career talent (Associate Consultants) and leading them to deliver transformative IT projects for enterprise customers. Responsibilities include team building, strategic advisory, P&L management, business development, and ensuring on-time, within-budget project delivery.

Principal Engineer on the EC2 Accelerated Nitro team, focusing on developing next-generation EC2 instance families by innovating in virtualization, hardware acceleration (GPUs, FPGAs), and cloud computing infrastructure. The role involves leading the design and architecture of core EC2 capabilities, advancing virtualization security, mentoring engineers, and influencing the future of cloud computing. Requires expertise in low-level system software and hardware acceleration.

Senior Software Development Engineer at Amazon Annapurna Labs focused on compute sanitization for ML accelerators (Neuron). The role involves leading a technical team to develop tools for identifying hardware defects before customer impact, working closely with hardware, firmware, training, inference, and runtime teams. The goal is to ensure the functional correctness of ML hardware through pre-check and functional correctness checking suites.

This role is for a Software Development Manager at Amazon responsible for building and supporting a team that provides compute sanitization for the Neuron ML accelerators fleet. The team develops and maintains pre-check and functional correctness checking suites to identify hardware defects before customer impact, and provides fleet-level visibility into hardware/software sanitization trends. The manager will work closely with hardware, firmware, and runtime teams, collect requirements from training and inference teams, and anticipate future needs based on the product roadmap.

Senior Business Intelligence Engineer role at Amazon's AMXL Japan, focusing on building and operating reports, dashboards, and applications to support a large e-commerce logistics business. The role involves setting strategic priorities, delivering BI solutions, ensuring engineering and operational excellence, defining metrics, and delivering BI solutions for complex problems. Requires experience in SQL, data extraction/transformation, statistical analysis, scripting (Python), and information retrieval/data science/machine learning/data mining.

Senior Technical Program Manager to support software development efforts for quantum hardware fabrication and operation. The role involves planning and executing projects to develop tools for data ingestion, testing acceleration, and streamlining operations, aiming to drive efficiency and accelerate hardware development. It requires navigating ambiguity, making data-informed decisions, and contributing to project management standards.

Role is for an AWS Cloud Operations Architect focused on helping enterprise customers maximize value from AWS services. This involves crafting and executing adoption strategies, providing architectural advice, and ensuring operational health while reducing cost and complexity. The role partners with customers to understand their needs and challenges, drives technical discussions, and collaborates with various AWS teams.

This role focuses on the physical design methodology for ASIC chips used in AWS's machine learning servers, specifically AWS Inferentia and Trainium Systems. The engineer will define, develop, and optimize RTL2GDS flows, work with EDA tools, and improve cloud infrastructure utilization for physical design tasks. The role requires expertise in ASIC physical design, CAD flows, and scripting languages, with a focus on PPA and TAT improvements.

This role focuses on developing and maintaining operational systems and tools for AWS Region Services, emphasizing automation, system health monitoring, diagnostics, and incident resolution within a secure cloud computing environment. While AI and ML are mentioned as technologies used by the team, the core responsibilities are centered around engineering and operational excellence of cloud infrastructure, not direct AI/ML model development or deployment.

This role is for a Systems Development Engineer on the AWS Region Services team in Sydney, Australia. The primary focus is on supporting and refining system requirements, developing and delivering operability features like monitoring, diagnostics, and self-healing automation. The role involves managing and improving operations for scalable, high-availability cloud services, including participating in on-call rotations and incident resolution. While the team works with AI/ML, this specific role is centered on the engineering and operational aspects of secure cloud infrastructure, not direct AI/ML model development or research. It requires experience with automation, programming languages, Linux/Unix, and ideally with distributed systems, performance tuning, and infrastructure as code.