Amazon

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 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.

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 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.

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.

Software Development Engineer role focused on building and improving software systems for Amazon's product catalog, utilizing machine learning techniques alongside human-curated rules at scale. The role involves working on item identity services to enhance buyer and seller experiences.

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 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.

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 is for a Senior Account Executive focused on driving revenue and customer engagements for Amazon Web Services (AWS) within the Federal Financial sector. The position requires a blend of business and technical acumen to build relationships with CXO level customers, understand their mission and technical challenges, and help them leverage AWS services for business transformation. The role involves full sales cycle activities, including demand generation, pipeline management, contract negotiations, and working with internal AWS resources and partners.

Senior Applied Scientist role in AWS Security focused on developing advanced and rigorous solutions for security, privacy, and sovereignty. Requires deep knowledge in areas like SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, or program analysis.

Seeking a Sr. Package Layout Engineer to lead the end-to-end physical design of advanced IC packages for next-generation machine learning and data center ASICs. This role involves owning the package layout from floor planning through tape out and manufacturing release, driving the physical implementation of complex multi-die and advanced packaging architectures.

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.

Lead the team delivering virtual platforms for custom silicon (Trainium/Inferentia chips) used by software teams for pre-silicon development and validation. Own the roadmap, drive usability, performance, and scalability, and build CI/CD infrastructure. This is a builder-leader role focused on system modeling and leading engineers, with no ML background required.

Software Development Engineer role on the AWS Elastic MapReduce (EMR) team, focusing on building and improving large-scale data processing systems and features for customers running open-source data frameworks like Hadoop and Spark. The role involves designing, developing, and operating next-generation cluster management systems and real-time data processing capabilities.

Senior Software Development Engineer III (SDE3) to join the ShopBop Technology team, leading software development and technical initiatives across a wide array of systems. Responsibilities include leading development of Java-based applications on AWS, collaborating with product managers and designers, mentoring junior developers, championing best practices, and fostering team growth. The role requires experience in software development, programming, system design/architecture, and technical leadership. Preferred qualifications include full SDLC experience and familiarity with generative AI tools for workflow enhancement.

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.

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.

Executive Assistant supporting the Data Intelligence team within Amazon Customer Service, which focuses on accelerating AI initiatives through data and advanced technologies like Generative AI and Machine Learning.

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.

This role focuses on applying economic principles and econometric modeling to solve business problems in various Amazon divisions like retail, cloud computing, and advertising. It involves building models, developing new techniques for data processing, and utilizing statistical analysis tools and big data technologies. The position requires a Ph.D. in Economics or a related field and experience in causal inference techniques and statistical analysis.

Software Development Engineer II role focused on building full-stack technology and services for Amazon's DCA (Device Content & Advertiser) division, which includes Fire TV and Fire Tablet. The role involves defining and implementing customer experiences, collaborating with product and UX teams, and delivering high-quality software in an Agile environment. The position requires experience in software development, system design, and programming languages like Java, C++, or C#.

Vendor Manager for Amazon Canada Consumables, focusing on improving value, selection, and convenience for vendor partners. The role involves P&L management, vendor negotiations, new product launches, and defining growth strategies, utilizing customer obsession and analytics. It offers exposure to various business functions within Amazon's General Management career path.

This role is for a Principal ProServe Cloud Architect at Amazon Web Services (AWS). The architect will work with customers to understand their technical requirements and business objectives, designing and implementing tailored cloud solutions. They will be a key player in the sales process, providing technical expertise and guidance, and acting as a trusted advisor on industry trends and emerging technologies. The role involves creating and leading solution designs to achieve customer business outcomes, collaborating with sales and delivery teams, and sharing knowledge within the organization.

This role is for a Site Marketing Manager in Amazon's Fashion and Fitness division, focusing on creating and executing onsite marketing campaigns to drive customer engagement and sales. The role requires a strong bias for action, data analysis, and collaboration with various teams. While familiarity with GenAI tools is mentioned, the core responsibilities are in marketing campaign management and execution, not AI/ML development.

This role focuses on data collection and processing, requiring attention to detail, organizational skills, and the ability to learn quickly. While it mentions machine learning data processing needs, the core responsibilities are centered around executing collection procedures, documenting information, and suggesting improvements to tools and protocols, rather than directly building or researching AI models.

Data Engineer role focused on building foundational analytical datasets and data pipelines using AWS services for Amazon's digital businesses. The role involves ETL, data modeling, and partnering with various teams including MLEs and Scientists.

This role is for a Sr. ASIC Design Engineer focused on designing and optimizing hardware (SoCs, accelerators) for AWS's machine learning inference servers, such as AWS Inferentia. The responsibilities include RTL design, SOC integration, performance/power/area analysis, and working with various engineering teams. While the hardware is for ML acceleration, the core craft of the role is ASIC design, not AI/ML model development.

Software Development Engineer II for AWS Data Processing and Analytics team, focusing on building and scaling a next-generation serverless analytics platform with Apache Spark and Python. The role involves designing, developing, and operating distributed systems at massive scale, aiming for super-low latencies and high reliability. It requires technical leadership, system architecture ownership, and collaboration across teams.

Seeking an Electro-Mechanical Assembly, Integration, & Testing (AIT) Specialist for the Amazon Center for Quantum Computing. Responsibilities include assembling and testing complex electrical and mechanical systems, working with cryogenic systems, microwave electronics, and support hardware. The role involves mechanical assembly, hardware integration, maintenance, and servicing cryogenic test setups, as well as maintaining lab infrastructure and composing technical documents.

Editorial Stylist for Shopbop, responsible for leading styling execution for on-figure and off-figure content across various channels. The role involves owning shoots end-to-end, developing strategic outfitting plans, and partnering cross-functionally to ensure styling supports brand standards and business priorities. Requires a strong understanding of fashion trends, customer insights, and the ability to translate creative direction into commercially effective storytelling in a fast-paced production environment.

This role is for a Sr. Global Commodity Manager focused on Compute & Vision components within Amazon Robotics. The primary responsibility is managing global suppliers for electronic components, including CPUs, GPUs, NPUs, SoCs, SoMs, and camera/optics. Key tasks involve supplier relationship management, negotiation, contract development, sourcing strategy, cost reduction, and ensuring suppliers meet technical and commercial specifications to support new product introduction and long-term commodity strategy for robotics hardware.

Software Development Engineer on the EC2 Nitro platform, focusing on developing next-generation EC2 Supercomputers optimized for high-performance training and inference workloads. The role involves working with hardware, firmware, systems, and application software teams. Requires strong computer science fundamentals, C/C++ or Rust in Linux, and experience with development tools. Knowledge of ML frameworks and cluster management is highly preferred.

The Amazon US Hispanic Marketing team is seeking a Sr. Product Marketing Manager to drive strategic projects to make Amazon.com the best place for Spanish language Customers to shop online. This role involves designing and managing inclusive marketing initiatives, strengthening Amazon's perception across Hispanic audiences, and owning the roadmap with visibility to senior leadership. The candidate will be a strategic thinker with an operational bias, comfortable with ambiguity, analytical, and possess excellent problem-solving skills. Responsibilities include authoring integrated marketing plans, shaping campaign briefs, developing content strategies, overseeing translation, defining channel strategies, executing complex campaigns, outlining operational requirements, managing budgets, partnering with creative teams, and collaborating with insights teams to assess performance. The role requires bilingual proficiency in Spanish and English.

Finance Manager for AWS Networking team, supporting investment decisions, FP&A processes, and new initiatives. Focuses on financial partnership, cost management, business case development, and reporting, including for Generative AI investments and automation projects.

Lead Software Development Engineer for Audible's Player team, responsible for building and maintaining the audio listening platform that serves millions of users. The role involves defining, designing, and refining the technology for the end-to-end audio listening experience, including player clients, content security, delivery infrastructure, and data synchronization across devices. The position requires leading technical initiatives, mentoring developers, and setting technical strategy.

Product Marketing Manager for AWS Edge Networking, responsible for defining and driving marketing and go-to-market strategy, including launch activities, content creation, marketing programs, and shaping product vision with engineering teams. Aligns with technical and business leaders on primary cloud and AI use cases.

Software Development Engineer II role focused on building and maintaining critical services for the Cart, Checkout, and payment processing for Amazon's fashion subsidiaries (Shopbop and Zappos). The role involves scoping, designing, and building systems, working with stakeholders, and improving customer experience in e-commerce.

Manager III, Systems for Shopbop and Zappos, leading a distributed team of 8-10 engineers responsible for IT infrastructure, network systems, cloud services, audio/visual systems, and end-user computing. The role involves team leadership, network and systems engineering, IT operations, studio technology support, and strategic initiatives with Amazon IT, including driving adoption of AI-powered tools.

This role focuses on applying formal verification, program analysis, constraint-solving, and theorem proving to build tools for identifying security and safety issues in software systems. The scientist will create prototypes, integrate them into production, and support their scaling, interacting with internal teams and external customers to understand requirements and deliver solutions.

The Sr. TPM will own programs to deliver complex projects across multiple Director/VP organizations within Amazon's Last Mile Technology (LMT) organization, focusing on routing and planning software for efficient and reliable package deliveries. Responsibilities include defining requirements, writing specifications, managing schedules from design to release, and coordinating efforts between science, operations, product, and engineering teams.

Manager for a global fiber deployment team at AWS, responsible for network infrastructure expansion, program management, vendor relations, budget management, and team leadership. Focuses on scaling and expanding the low-latency, high-throughput network that supports AWS services, including AI/ML applications.

This role is for a Sr. Analytics Program Manager focused on supply chain optimization within Amazon's Middle Mile Transportation Technology team. The role involves program management, stakeholder collaboration, process improvement, and generating business insights using advanced analytics, data visualization, and automation. The individual will work with large datasets, SQL, Excel, and reporting tools to drive decision-making and improve operational efficiency in a fast-paced, technical environment.

Executive Assistant role supporting senior leaders in an Artificial General Intelligence (AGI) organization. Responsibilities include calendar management, travel coordination, event planning, and maintaining team culture. Requires strong organizational skills, discretion, and judgment.