Amazon

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.

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.

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.

Finance Manager for Amazon's Supply Chain Optimization Technologies (SCOT) team, focusing on strategic sourcing. The role involves supporting sourcing strategy, vendor selection, financial metrics, planning, forecasting, and reporting. It requires collaboration with operations research scientists, economists, machine learning specialists, software developers, and product managers, but the core function is finance management and analysis, not direct AI/ML development.

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.

Senior Program Manager for Amazon's Middle Mile Transportation Technology organization, focusing on optimizing the transportation network using technology, big data, machine learning, and optimization techniques. The role involves end-to-end ownership of requirements, strategy, roadmap development, and execution, collaborating with engineering and business teams to deliver cost-effective and efficient solutions.

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.

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 Senior Business Development Manager in Amazon Fashion & Fitness, focused on driving brand growth and identifying new business opportunities. The role requires strong business management, negotiation, and relationship-building skills, with an analytical approach to decision-making. While the role mentions using generative AI tools to enhance workflow efficiency and identifying opportunities for AI to improve products/workflows, the core responsibilities are in business development and sales, not in building or shipping AI models or systems.

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.

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 role is for a Senior Program Manager in Finance Operations at Amazon, focusing on Accounts Receivable performance in global transportation. It involves developing operational metrics, assessing priorities, driving global operational reviews, and improving processes. The role requires partnering with various finance, technology, and business teams to build scalable receivable processes and remove defects. Key responsibilities include defining KPIs, analyzing data to identify root causes of defects, solving escalations, and quantifying risks and opportunities. The role emphasizes strong communication, collaboration, and problem-solving skills in a fast-paced, ambiguous environment.

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 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.

Sales role focused on driving revenue and customer engagements for Amazon Web Services (AWS) within the Federal Financials sector. The role requires a blend of business and technical acumen to build relationships with CXO-level customers, understand their mission and technical challenges, and promote AWS services for business transformation. Responsibilities include pipeline management, solution selling, contract negotiation, and working with internal teams to guide product direction.

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.

This role supports customers using Amazon's demand-side platform (DSP) for programmatic advertising. The Programmatic Solutions Consultant will manage the end-to-end customer experience, develop customer expertise in the DSP, and leverage advertising technology and programmatic advertising domain knowledge to help customers achieve their business objectives. Responsibilities include onboarding, training, consultation, data analysis for improvement recommendations, gathering customer feedback for product evolution, and defining team processes. The role involves working closely with programmatic traders, internal sales, product, and support teams.

Mechanical Engineer responsible for the design and optimization of hardware (specifically thermal and mechanical aspects) for large-scale server deployments in Amazon's data centers, supporting custom chips and accelerators for AWS services like ML Trainium and Inferentia.

ASIC Design Engineer for AWS Machine Learning servers, focusing on custom SoCs like AWS Inferentia. Responsibilities include RTL design, microarchitecture, optimization for performance, power, and area, and collaboration with cross-functional teams.

Corporate Counsel, International Trade – Export Controls for AWS, focusing on legal counsel for new technologies like AI, quantum, and semiconductors, regulatory engagements, and compliance solutions.

This role is for a Copywriter for Amazon Leo, a satellite internet network. The Copywriter will be responsible for crafting compelling narratives and consistent messaging across various customer touchpoints and audiences (B2C, B2B, B2G). The role involves creative development, copy excellence across all media, and collaboration with cross-functional teams. While the role will leverage generative AI tools to enhance creative workflows, the core function is copywriting and brand messaging, not AI/ML development.

This role is for a Sr. Cloud Solutions Consultant at Amazon Web Services (AWS) ProServe. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and best practices throughout the project lifecycle. Responsibilities include collaborating with stakeholders, assessing infrastructure, proposing migration strategies, and acting as a trusted advisor on emerging technologies. The role requires strong software/systems engineering, coding, automation, and design/architecture skills, with a focus on enterprise cloud adoption and modernization.

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 to drive development for new EC2 machine learning platforms.

Software Development Engineer on the EC2 Nitro MLS team, focused 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 C/C++ or Rust, Linux, and computer science fundamentals. ML framework and cluster management knowledge is preferred.

This role is for a Sr. Cloud Solutions Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include collaborating with stakeholders, proposing migration strategies, acting as a trusted advisor, and sharing knowledge within the organization. The role requires a strong software/systems engineering background, coding/automation, and design/architecture skills, with a focus on customer success in their cloud adoption journey.

This role focuses on catalog management and e-commerce operations for Shopbop's FBA business on Amazon. Responsibilities include managing product listings, ensuring data accuracy, troubleshooting issues, and analyzing performance metrics. While AI/ML tools are mentioned as a preferred qualification, the core function of the role is not AI/ML development or research.

This role focuses on catalog management and operations for an e-commerce business on Amazon. Responsibilities include managing product listings, ensuring data accuracy, troubleshooting issues, and analyzing performance metrics. While the role mentions using AI/ML automation tooling and generative AI tools, the core function is not AI/ML development but rather operational management within an e-commerce platform.

This role involves designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor on cloud technologies and migration strategies. It requires deep AWS product knowledge and project management skills throughout the cloud adoption lifecycle.

This role is a School Outreach and Marketing Manager for Amazon University Talent Acquisition. The primary focus is on developing and executing marketing strategies to attract early career talent, positioning Amazon as an employer of choice, particularly in emerging fields like Generative AI and Robotics. The role involves campaign development, channel optimization, and measuring marketing effectiveness. While the team uses AI technology and the role mentions positioning Amazon in AI fields, the core responsibilities are marketing and recruitment, not building or directly working with AI models or systems.

This role manages event technology products, focusing on execution, innovation, and stakeholder management. While it mentions identifying and implementing AI efficiencies and leveraging generative AI tools, the core responsibilities are in event technology management and product delivery, not AI model development or research.

This role focuses on the Electrical, Magnetic, Interference, and Reliability (EMIR) sign-off of SoCs (System on Chips) for Amazon's Inferentia and Trainium chips, which power AI workloads. The engineer will design and analyze power grids, set up EMIR analysis flows, partner with EDA tool vendors, and develop dashboards to track EMIR status. The role requires deep circuit-level understanding of power, EM, and IR, and experience with EMIR analysis tools.

Software Development Engineer role at Amazon focused on building and operating innovative products and services. The role involves designing and developing scalable solutions using cloud-native architectures and microservices, with an emphasis on leveraging AI/ML tools to enhance development productivity. It requires collaboration, code ownership, and operational excellence in an agile environment.

Director to lead PKI and Certificate Services organization, responsible for delivering enterprise-grade cryptographic services and certificate management solutions. Owns P&L, strategy, and execution for certificate services at scale, focusing on migration to post-quantum cryptography. Manages a large team of engineers and PMs.

This role is for a Control Systems Engineer focused on industrial automation and robotics within Amazon's fulfillment centers. While the job mentions applying machine learning and image processing, the core responsibilities revolve around designing and developing industrial control systems, PLC optimization, and custom hardware, placing it in the industrial domain with an engineering function. The primary focus is on the physical systems and automation rather than AI model development.

Research Scientist role focused on developing and testing novel calibration and optimization tools for Quantum Error Correction on large-scale quantum processors within the AWS Center for Quantum Computing. Requires a PhD in a relevant field and experience characterizing quantum systems through measurement.

This role is for a Delivery Practice Manager at Amazon Web Services (AWS) Professional Services. The manager will lead a team of Delivery Consultants and Engagement Managers, focusing on architecting and implementing solutions for enterprise customers. Responsibilities include team management, business development, P&L management, and ensuring customer satisfaction. The role requires a strong IT background, experience in managing technology teams, and the ability to translate technical concepts into business value. A Top Secret security clearance is mandatory.