Amazon

This role focuses on ensuring customer success on the AWS platform by assisting with technical architecture, application development, and cloud migration. It involves collaborating with partners and customers, delivering proof-of-concept prototypes, and providing input to AWS technology roadmaps. The role requires experience with AWS services, cloud-based solutions, and scripting/programming tools.

Amazon is seeking an SoC Emulation Engineer to work on the Silicon IP AZ1 Neural Edge, which powers Echo devices. The role involves pre-silicon and post-silicon validation of next-generation SoCs using emulation, prototyping, and early silicon. Responsibilities include developing and executing test plans, designing test environments, building emulation and prototype models, and collaborating with architects, RTL designers, and software development teams. The role requires experience in pre-silicon verification using SystemVerilog/UVM and post-silicon validation, with strong debugging, analysis, and automation skills.

AWS Enterprise Support is seeking a Cloud Operations Architect to provide technical guidance and support to customers in adopting and utilizing AWS services. This role involves acting as a principal technical advisor and the 'voice of the customer' for organizations ranging from startups to Fortune 500 enterprises, helping them achieve maximum value from AWS.

Lead a team of Software Development Engineers to build and run control plane and data streaming systems for EC2 instance placement. The role involves creating vision and roadmap, attracting and growing talent, mentoring, and fostering an inclusive engineering culture. Requires solid technical leadership, a strong software engineering background with an interest in optimization, machine learning, and data streaming technologies, and experience in managing teams to deliver results in an agile environment.

Technical Recruiter role focused on hiring for cloud infrastructure solutions, specifically mentioning AWS Nitro, Graviton, and machine learning accelerators. The role involves partnering with hiring teams, assessing candidates, market research, and process improvement. Requires experience recruiting for technical roles in engineering and technology sectors.

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 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.

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.

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.

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 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 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.

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 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.

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.

Software Development Manager for Amazon's Items and Offers Platform, focusing on relationship inference and correction. The role involves owning vision, strategy, and end-to-end delivery of services that power product discovery and shopping experiences. It requires managing engineering teams, driving architectural decisions, and influencing technical strategy for key initiatives including large language models and core platform services. The role emphasizes building and operating critical catalog platform services within a large-scale e-commerce environment.

This role focuses on helping customers implement database transformations and migrate their database environments to AWS cloud-based platforms. It involves collaborating with customers and partners on key engagements, developing proof-of-concept projects, technical workshops, and supporting implementation projects. The role requires expertise in commercial or open-source database platforms and understanding of AWS services like RDS, Aurora, DynamoDB, and Redshift, with a focus on migrating and optimizing complex, high-scale database environments.

The role focuses on designing and optimizing hardware for AWS data centers, specifically for machine learning inference servers like AWS Inferentia. The engineer will build and execute emulation platforms for system validation of ML chip designs, working with various teams to define requirements, develop testbenches, and ensure the quality and performance of the delivered design. This involves using emulation tools, developing bus functional models, and automating system flows.

AWS Technical Account Manager (TAM) is a trusted advisor and cloud operations architect for Enterprise Support customers, helping them gain value from AWS services. The role involves advising on solutions, providing technical guidance, ensuring operational health, developing customer relationships, driving technical discussions, and collaborating with various AWS teams. Responsibilities include reviewing service events, planning launches, and solving migration problems. The role also involves uplifting customer capabilities through workshops.