Amazon

Data Engineer role focused on building and maintaining data platforms and ETL pipelines for Amazon's competitive pricing team. Responsibilities include designing and implementing data solutions, ensuring data quality, and providing actionable insights through reports and dashboards. The role involves working with big data technologies and AWS services.

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 a Senior Training Specialist responsible for facilitating blended learning, managing training logistics, tracking completion via an LMS, and identifying areas for training improvement within the AGI-DS organization. The role involves developing and documenting processes to enhance training delivery and collaborating with stakeholders to ensure trainee success.

This role is for a Senior Training Specialist focused on facilitating blended learning for the AGI-DS organization, which deals with generative AI and LLMs. The responsibilities include planning, scheduling, coordination, and execution of training, tracking completion through an LMS, identifying areas for improvement, and driving innovation in training approaches. The role requires proficiency in both English and French, strong communication and organizational skills, and knowledge of adult learning practices. While the organization works with AI, the role itself is focused on training delivery and management, not direct AI/ML development.

Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure, working on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions.

Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure, focusing on networking, machine learning acceleration, and high-performance computing (HPC).

Senior Software Development Engineer at Amazon's Annapurna Labs division, focusing on designing, developing, and optimizing mission-critical embedded software for cloud infrastructure. The role involves working on networking, machine learning acceleration, and high-performance computing (HPC) with custom silicon and innovative networking solutions at the intersection of hardware and software.

Senior Software Development Engineer at Amazon's Annapurna Labs, focusing on designing, developing, and optimizing mission-critical embedded software for cloud infrastructure, including networking, ML acceleration, and HPC. Requires strong C/C++ and embedded systems experience, with preferred qualifications in networking protocols, AWS, and hardware/software co-design.

Operations Manager for AGI Data Services team supporting image and video ML technology. Responsibilities include managing teams, ensuring data quality and accuracy, optimizing productivity, and partnering with research teams. Requires experience in fast-paced operations, analytical skills, and process improvement.

Software Development Engineer role focused on improving mesh and client connectivity for eero WiFi routers, involving embedded systems, board bring up, and feature delivery. Requires C/C++ proficiency and a Bachelor's/Master's in CS/CE. AI/ML experience is preferred but not core.

Lead engineer for cloud platform system integration, focusing on hardware and software, including architecture, thermal/power, signal integrity, boot flows, debugging, firmware updates, health monitoring, and fleet-level debugging. Drives product development from architecture to deployment, defines integration methodologies, and applies emerging technologies.

This role is for a Data Center Operations Manager at Amazon Web Services (AWS) in London. The manager will be responsible for leading teams of technicians, maintaining and building data centers, optimizing operational processes, managing vendor relationships, and ensuring safety and security standards. The role requires strong people management skills, experience in IT environments, and knowledge of IT service management methodologies and financial budgeting.

This role focuses on designing, implementing, and managing AWS solutions for customers, with a strong emphasis on security, risk, and compliance. The consultant will act as a trusted advisor, providing technical expertise and guidance throughout the cloud journey, ensuring adherence to best practices and optimizing performance and risk management. The role involves leading complex projects, managing stakeholders, and promoting a culture of security within customer engagements.

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 focuses on building data pipelines, creating metrics decks, performing advanced statistical analysis, and measuring the success of classification models. It requires strong skills in SQL, data engineering, statistical analysis (hypothesis testing, A/B testing), and scripting for automation, with experience in information retrieval, data science, and machine learning.

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.

Manages data center operations, including teams, maintenance, new builds, process improvement, vendor and internal team relations, and adherence to health and safety standards. Requires people management experience in an IT environment, knowledge of incident/problem/change management, and financial budgeting.

Design Verification Engineer for AWS custom silicon, focusing on high-speed I/O and scale-up/out components for machine learning accelerators like Inferentia and Trainium. The role involves architecting and implementing verification strategies, leading technical direction, and mentoring team members using advanced simulation methodologies.

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 role is for a Data Engineer focused on building and maintaining data foundations, designing and implementing scalable data architectures, creating reliable data pipelines, and establishing data standards. The role involves working with big data technologies and cloud computing to enable advanced analytics and machine learning capabilities.

This role focuses on security, risk, and compliance consulting for cloud migrations, primarily on AWS. The consultant will provide architecture guidance, lead proof-of-concept projects, and conduct workshops to help customers and partners address their information security and regulatory compliance needs in large-scale computing environments. The role involves pre-sales support, solution design, and advisory services for implementing robust security solutions.

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.

Systems Development Manager for AWS Region Services in Australia, focusing on secure, scalable cloud environments. The role involves developing and deploying operational tools, managing teams, building and managing scaled services, troubleshooting customer issues, and tracking service health. Requires strong Linux and development tool familiarity, with an emphasis on security clearances and collaboration with product teams to design and deliver solutions.

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.

This role focuses on analyzing large datasets to detect anomalies, identify bad actor behaviors, and deploy rules to prevent fraudulent activity on Amazon's platform. It involves data analysis, root cause analysis, and collaboration with product managers, scientists, and engineers, but the core function is rule-based analysis and 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.

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 is for an Associate Systems Engineer on the AWS Region Services team in Melbourne, Australia. The primary focus is on operating and improving large software systems, troubleshooting issues, implementing Operational Excellence best practices, and automating manual processes within secure, scalable cloud environments. The role requires experience with Linux, troubleshooting scalable systems, and scripting for automation. While AI and ML are mentioned in the context of the team's work, the core responsibilities of this specific role are centered around systems engineering, operations, and support within a regulated environment.

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.

Systems Engineer role focused on operating and maintaining secure, scalable cloud environments within AWS Region Services in Australia. Responsibilities include defining hardware requirements, developing management tools, adapting operations systems, executing acceptance tests, monitoring fleet health, and participating in on-call rotations. Requires Australian citizenship and security clearance.

Software Development Engineer III role at Amazon Prime Video, focusing on the commerce tech platform that powers the global offer ecosystem. The role involves designing, developing, and deploying end-to-end solutions for distributed systems, security, concurrency, scalability, availability, durability, and performance engineering. The team manages the entire offer lifecycle, including TVOD rentals, purchases, channel subscriptions, and account sharing enforcement, aiming to deliver personalized and contextually relevant offers. The platform processes millions of daily transactions and supports numerous client services. While AI is mentioned for personalization and ranking, the core of the role is in building and scaling the commerce platform.

This role supports the backend non-technical operation of Amazon Go Stores by performing data collection tasks, adhering to SOPs, and participating in process improvement. It is not directly involved in AI/ML model development or deployment.

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.

This role is for a Senior Business Intelligence Engineer at Amazon, focusing on Delivery Choices within the Delivery Experience organization. The primary responsibility is to analyze and deliver insights to improve customer experiences related to delivery options. The role involves working with large datasets, applying statistical analysis, and collaborating with business stakeholders to drive actions. Experience with SQL, data extraction, transformation, cleaning, design of experiments, statistical analysis, AWS technologies, Python scripting, information retrieval, data science, machine learning, and data mining is required.

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.

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 focuses on helping Private Equity firms and their portfolio companies leverage cloud technologies, specifically AWS, to improve operations and build new solutions. The Solutions Architect will act as a trusted advisor, providing technical leadership and thought leadership to C-level executives and technical leaders, bridging the gap between business needs and technology solutions. The role involves educating clients on cloud capabilities, designing reference architectures, and influencing AWS's roadmap. While not directly building AI models, the role is within an enterprise AI context by helping businesses adopt advanced technologies.

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.

Software Development Engineer role focused on Last Mile Planning at Amazon, developing and owning software components for efficient and reliable package delivery. The role involves working with ML and Operations Research algorithms, but the core focus is on software engineering and delivery within the existing systems.