Strong Compute jobs

SDE II, Identity Security & Abuse Prevention Seattle, Washington, USA Are you seeking an environment where you can apply the latest computer science techniques to secure the systems driving every order that Amazon ships to our customers? At Amazon, we are obsessed with customer trust. Information Security enables Amazon business leaders to secure the confidentiality and integrity of Amazon and customer data. We assess risk, classify data and systems, detect potential intrusion, and render useless the value of data that may be leaked. This team dives deep into security technologies and continuously raises the security bar across Amazon's Stores, Devices, and Other (CDO) by tackling complex engineering problems that require widespread support and multi-year execution plans. You'll be part of a world-class team in a fast-paced environment that has the entrepreneurial feel of a start-up. In this role, you will discover, define, and solve challenging problems across multiple teams and locations. You'll be surrounded by people who are smart, passionate about cloud computing, and believe that world-class service is critical to customer success. You will also create scalable engineering systems and solutions using cloud computing. Successful candidates for this position will have strong software engineering fundamentals (data structures, object-oriented design, and algorithms), experience in full-stack development, a well-honed arsenal of software architecture and design patterns, and a demonstrated competence in designing reusable, maintainable, and performant software written in a modern high-level language (Java, Python, C++, C#, Objective-C, JavaScript). You will be a champion for engineering and operational excellence. You will

Lead ISP Algorithm Developer, Camera and Imaging Tampere, West and Inner Finland, FIN Passionate about image signal processing and ready to lead the algorithmic direction of a camera imaging team? Join us as the lead ISP algorithm developer, driving the evolution of Ring's imaging pipeline from classical ISP toward hybrid AI-ISP architectures. As a Lead ISP Algorithm Developer, you would be the technical authority on imaging algorithms, working together with algorithm developers, SW developers, IQ Engineers, architects, and various stakeholders on different sites. When you are successful, end users will have Ring cameras that produce stunning image quality through algorithms you designed and led to production - combining proven ISP techniques with AI enhancements to capture every moment with improved clarity and great color, no matter whether it is day or night. You will set the technical direction for ISP algorithms, mentor other algorithm developers, and make the key architectural decisions on how the imaging pipeline evolves. You understand how a traditional imaging pipeline works - from sensor to demosaic, noise reduction, tone mapping, color processing - and you know where AI can replace, augment, or guide these stages. You will architect hybrid solutions where conventional algorithms and neural networks work together, each doing what they do best. This work requires deep signal processing skills combined with practical AI/ML experience, and the leadership to shape and drive the vision. You need to understand both classical and AI worlds well enough to make the right architectural decisions and guide others in

Sr. Physical Design Engineer - Static Timing Analysis, Annapurna Labs, Cloud Scale Machine Learning Cupertino, California, USA AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. We are seeking an experienced Sr. Physical Design STA Engineer to build the next generation of our cloud server platforms. Our success depends on our world-class infrastructure; we're handling massive scale and rapid integration of emergent technologies. As a member of the Cloud-Scale Machine Learning Acceleration team you'll be responsible for the design and optimization of Hardware in our data centers including technologies such as AWS Inferentia which is a machine learning inference product designed to deliver high performance at low cost. You'll provide leadership in the application of new technologies to large scale deployments in a continuous effort to deliver a world-class customer experience. This is a fast-paced, intellectually challenging position, and you'll work with thought-leaders in multiple technology areas. You'll have relentlessly high standards for yourself and everyone you work with, and you'll be constantly looking for ways to improve our products' performance, quality and cost. We're changing

Principal Software Engineer, Amazon DynamoDB Dublin, IRL Join Amazon DynamoDB - the fully managed NoSQL database service that powers the world's most demanding applications with single-digit-millisecond performance at any scale. As a cornerstone of AWS Cloud, DynamoDB serves industry leaders like Lyft, Airbnb, Samsung, Toyota, and Capital One, enabling their mission-critical workloads and innovative customer experiences. Dynamo DB is a part of AWS Utility Computing (UC) which provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Key job responsibilities You are passionate about designing large scale and resilient storage systems, innovating and supporting new technological architectures. You'll think globally when building systems, ensuring we build high performing, scalable systems that fit well together. We are looking for pragmatic visionaries who can translate customer needs into workable technology solutions. Your expertise is deep and broad; you're hands on, producing both detailed technical work and high-level architectural designs. As a Principal Engineer on our team, you will work with leaders across database services organization to define our business and architecture vision. You will balance technical leadership and savvy with strong business judgment

C/C++ Hardware / Software Co-Design SDE, Machine Learning Acceleration Systems Austin, Texas, USA Annapurna Labs stands at the forefront of hardware/software co-design, leading innovation not just within Amazon Web Services (AWS) but across the entire industry. We design and build every component of our hardware and software to create best-in-class machine learning products that accelerate customer workloads through industry leading hardware using our custom silicon solutions. If you're passionate about building the highest-performing, hardware-accelerated Machine Learning systems and want to be part of the entire journey from pre- through post-silicon development, Annapurna Labs offers an exceptional career opportunity. Join us in shaping the future of AI acceleration At the heart of AWS Machine Learning servers reside our custom Amazon-designed silicon that powers next-generation machine learning capabilities for our customers. We're seeking an experienced C/C++ engineer to join our embedded software team, where you'll develop bare metal firmware that drives neural network model execution across our custom ASIC-based ML Accelerator chips. Working at the intersection of hardware and software, you'll collaborate closely with our architecture and design teams to co-develop the firmware and custom hardware that enables machine learning within our accelerator chips. Our mission is ambitious: to democratize access to industry-leading ML infrastructure and make deep learning capabilities accessible to everyday software developers. From the ground up, you'll help build the foundation that makes this vision possible. the Annapurna Labs team operates with the agility and culture of a startup, but with the full weight of Amazon behind us and

Systems Development Manager, Managed Operations Berlin, Berlin, DEU AWS is set to introduce the inaugural European Sovereign Cloud (ESC), marking a significant development in utility computing (UC). To spearhead this initiative, we are actively seeking experienced development engineering leaders with a strong background in both development management and operations expertise. As part of the AWS Managed Operations team, you will play a pivotal role in building and leading operations and development teams dedicated to delivering high-availability AWS services, including EC2, S3, Dynamo, Lambda, and Bedrock, exclusively for EU customers. For more information on ESC please check out our blog: https://aws.amazon.com/blogs/aws/in-the-works-aws-european-sovereign-cloud/ Your responsibilities will encompass overseeing the launch of the ESC in 2025, working closely with AWS global teams and influencing the evolution of AWS services and technology. A typical day in this role involves collaborating with technology leaders, contributing to the enhancement of day-to-day operations, and ensuring improvements in availability, reliability, latency, performance, and efficiency of the ESC. As a leader, you will manage teams in both systems operations and development, emphasizing automation and engineering efficiency. The overarching goal is to deliver scalable services and ensure a high-availability experience for EU customers. If you are an experienced professional ready for a challenging and impactful opportunity, we invite you to join our efforts in building a best-in-class development engineering and operations team that aligns with AWS' commitment to customer satisfaction and continual innovation. European Sovereign Cloud (ESC) is a part of AWS Utility Computing (UC). AWS Utility Computing (UC) provides product

Staff Software Engineer, GPU Performance Sunnyvale, CA, USA; +2 more Google Cloud's mission is to make every business successful through AI by combining cutting-edge technology, infrastructure, and talent. AI/ML software engineers in Cloud bridge the gap between pioneering models and a massive product vehicle reaching billions. Our talent density and AI-powered tools drive rapid development, rooted in a culture of empowerment and a bias to action. In this role, you aren't just building technology; you're shaping the frontier of enterprise and driving the evolution of advanced models. While known for pioneering work with TPUs, GPUs are an equally vital and rapidly expanding frontier within Google's machine learning infrastructure. GPUs are indispensable to Google's diverse and ever-evolving landscape for strategic, pragmatic, and performance-driven reasons ensuring top performance for our machine learning (ML) models, adapting to ML workloads, achieving results, and influencing next-gen GPU architectures via partnerships. In recognition of hardware as a strength, Google's Core ML organization is heavily invested in growing the powerhouse team of GPU experts, and we invite you to be at its vanguard. In this role, you will have the opportunity to move beyond incremental improvements and architect transformative solutions, shaping the future of AI and accelerated computing for Google and the world. The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We're

Finance Manager, AWS Infra, AWS Infrastructure Finance Seattle, Washington, USA Do you want to directly influence the future of some of the most successful products in cloud computing? Come join Amazon Web Services Finance! Amazon Web Services (AWS) is a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of enterprise, government and start-up business and organizations in over 190 countries around the world. Launched in 2006, Amazon Web Services officially began offering developer customers access to web services - now widely known as cloud computing - based on Amazon's own back-end technology platform. On the AWS Finance team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously and you should too! We provide end-to-end financial support driving AWS to be the low cost provider in Cloud computing and leader in customer experience. This includes supporting business owners in building, operating and innovating our Cloud datacenters. We support operations, safety, security, business development, and engineering. You should be passionate about producing financial analysis enabling management to make breakthrough decisions, drive cash flow, and ultimately delight our customers. Key job responsibilities As a member of this team, you will work with Regional AWS (Business and

Finance Manager, Cloud Capacity Finance Kirkland, WA, USA; +2 more Google Cloud Platform (GCP) is changing the way the world accesses compute power. As global compute capacity rapidly shifts to the public cloud, GCP delivers virtualized compute, big data/analytics, and machine learning tools to its customers at an unparalleled scale and speed, exposing Google's infrastructure to external customers. GCP is one of the fastest growing product areas at Google. The Capacity and Power Finance team is working in a highly dynamic, evolving environment supporting capacity and power planning decisions, both ML and classic. Within Cloud Expansion Finance, we oversee new product launches, data center launch planning, and long range planning for existing infrastructure (including Google sites, third-party sites, and networking infrastructure), and more. We are an integral partner and strategic advisor to the Cloud leadership team, advising on how to invest resources to grow a strong and sustainable business. This role has the opportunity to drive influence on large budget decisions and long-term cloud strategy. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $171000 - $248000 (USD) + 20% bonus target + bonus + equity + benefits Learn more about benefits at Google . Partner with TI (Infrastructure) Finance, Demand and Supply Planning, Supply Strategy and Portfolio Planning, and Cloud Expansion Product to provide Go vs No-Go recommendations to data center lease structuring, expansions and procurement. Work with supply and capacity planning to understand our location specific supply vs demand matching (SDM),

Social Support Lead, Trust and Safety Compute Kirkland, WA, USA; +1 more We prioritize user experience, promote developer success through consistency and trust, and make the mobile experience the safest it can be across Play, Android & Chrome Web store. The Developer Support team, within Trust & Safety (T&S) Compute, aims to build trust and minimize friction with the most critical developers within the ecosystem, while also mitigating regional specific user harm. We do this through proactive management and consultation of developers' policy issues, ongoing outreach and education, identifying sensitive risk areas, and providing a positive publishing experience for our developers. As a Trust & Safety Analyst, you will drive the transition from a reactive to a proactive, multi-channel engagement model for our global developer and partner ecosystem. You will lead the operationalization of proactive support across external community platforms and forums, ensuring we meet our developers where they actively communicate. You will be responsible for scaling community support workflows and integrating qualitative feedback into the broader trust & safety strategy. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $141000 - $206000 (USD) + 15% bonus target + bonus + equity + benefits Learn more about benefits at Google . Lead operationalization of community channels, managing technical configurations, and architecting analytics infrastructure to transform social data into visual intelligence for cross-functional reporting. Manage monitoring workflows to resolve developer issues and proactively identify reputational risks across platforms, even where official handles are not

Data Center Manager - Data Center Support TX, United States, US We are looking for an experienced leader with strong people management skills, business acumen and well rounded IT technical abilities to lead the teams responsible for building and supporting our cloud data centers in Red Oak, TX. * Provide strong leadership, direction and operational experience * Strong knowledge of computer hardware (Server, Storage and Networking devices) * Drive and manage escalations to rapid resolution and closure * Work with distributed teams across the country * Growing the team by recruiting and hiring top talent *Delivering expansion projects on time with high quality * Collaborating and working effectively with best in class architects, engineers, product management, etc. Career Level - M2 This role involves managing the physical site in Red Oak, TX. You should be experienced in managing a multi disciplined Cloud Data Center space with strong people skills, the ability to influence groups outside your direct responsibility and the colocation partners. This multi faceted management role includes: * Management and support of 15-20 Data Center Technicians * Data Center day to day support operations in 7/24 mission critical environment * Installation, Field Change Orders and Hardware break/fix activity * Responsible for ensuring timely delivery of services/tasks to meet milestones and customer KPI's * Interacting across functional areas and teams (Engineering, Build, Site Selection, Business Operations, etc. * Reacting to and managing incidents, driving resolution and after action analysis * Capacity expansion at all scales (rack additions, block additions, white

Mechanical Engineer, Advanced Analytics Sunnyvale, CA, USA Our thirst for technology is a part of everything we do. The Data Center Engineering team takes the physical design of our data centers into the future. Our lab mirrors a research and development department -- cutting-edge strategies are born, tested and tested again. Along with a team of great minds, you take on complex topics like how we use power or how to run state-of-the-art, environmentally-friendly facilities. You're a visionary who optimizes for efficiencies and never stops seeking improvements -- even small changes that can make a huge impact. You generate ideas, communicate recommendations to senior-level executives and drive implementation alongside facilities technicians. With your technical expertise, you ensure compliance with codes and standards, develop infrastructure improvements and serve as an expert in your specialty (e.g., cooling, electrical). The Thermal Systems Engineering team stands at the forefront of accelerating innovation that powers Google's global infrastructure. As a Mechanical Research Engineer on the Data Center Technology Systems (DCTS), a multidisciplinary group of engineers and architects dedicated to designing next-generation data centers, you will play a key role in developing, analyzing, and optimizing the mechanical cooling infrastructure. You will use various analytical tools to reveal important data points in the design process for efficient mechanical systems. You will be an excellent communicator, able to articulate complex ideas concisely across all digital mediums and provide recommendations to cross-functional engineers and architects to enhance our data centers' mechanical systems and accelerate construction. Behind everything our users

Applied Science Manager, Center for Quantum Computing San Francisco, California, USA Do you want to make an impact on quantum computing hardware development through computational science and engineering? Do you thrive when working with scientists and engineers from diverse backgrounds in a multidisciplinary environment? The Amazon Center for Quantum Computing (CQC) is seeking to hire an Applied Science Manager to innovate in physical design and simulation methods, and develop the software stack used to design superconducting quantum computers. In this role, you will lead a team developing scientific software for quantum electronic design automation. The ideal candidate is expected to advance the state of the art for computational science in service of realizing a fault-tolerant quantum computer. Key job responsibilities - Hire and develop Applied Scientists that build physical design and simulation software - Partner with science teams to understand needs and drive adoption of improved methods and tooling - Influence engineering team development priorities in high-performance computing infrastructure - Manage tactical and strategic initiatives with scientific projects pursued within team - Enable creative and innovative experimentation while striving for operational excellence About the team The Amazon Center for Quantum Computing (CQC) is a multi-disciplinary team of scientists, engineers, and technicians, on a mission to develop a fault-tolerant quantum computer. Inclusive Team Culture Here at Amazon, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our

Sr. Account Manager, Startups New York, New York, USA Do you get excited by the potential of helping Fintech and Web3 Startups scale, accelerate, and disrupt the financial ecosystem? As a Senior Account Manager for Startups, you will strategically drive cloud adoption within your group of high growth startups. In addition to attaining territory revenue objectives, your responsibilities will include helping startups adopt key new AWS technologies, assist in optimizing their cloud services spend, and driving co-sell strategies. The ideal candidate possesses a strong sales acumen, a working knowledge of the startup ecosystem, a passion for and familiarity with FinTech and Web3 trends and an aptitude for cloud computing that enables compelling engagements with startup Founders, financial officers, and IT leadership. You will own sales engagements end-to-end and enable successful customer outcomes supported by a wide team of specialists ranging from solution architects to AWS technology partners. You should be a self-starter who is prepared to develop and execute against a territory coverage plan and consistently deliver on quarterly revenue targets. In order to thrive, you need to be passionate about Startups, be a self-starter with a strong entrepreneurial spirit who is prepared to work in a fast-paced, often ambiguous environment, execute against goals, and consistently embrace the Amazon Culture. You should have a strong understanding of the FinTech segment and how startups are using technology to enhance financial services and processes for end customers. You will be working with startups building leading solutions in the Financial industry , so

Applied Scientist, Quantum Algorithms, Center for Quantum Computing Pasadena, California, USA The Quantum Algorithms Team at the Amazon Web Services (AWS) Center for Quantum Computing (CQC) is looking to hire an Applied Scientist. In this role, you will conduct theoretical research into applications of fault-tolerant quantum computers and develop new quantum algorithms. You will work on the forefront of quantum computing research and contribute toward the development of useful quantum technology, working alongside theoretical and experimental scientists, engineers, and technicians across the CQC. You should have a deep and broad knowledge of quantum algorithms and applications for fault-tolerant quantum computers, and standard mathematical and computational methods for analyzing them. Key job responsibilities We are looking to hire an Applied Scientist focused on developing algorithms and applications for fault-tolerant quantum computers. In this role, you will: - Collaborate with other members of the Quantum Algorithms Team and our academic collaborators, to analyze and optimize existing quantum algorithms - Think big to invent new quantum algorithms and discover new application areas for fault-tolerant quantum computers - Provide subject matter expertise on the topic of quantum algorithms, and communicate the latest developments to the broader quantum computing team - Work with internal and external stakeholders to strengthen the long-term value proposition of quantum computing - Interact with the Quantum Error Correction team to understand the interplay between quantum algorithms and quantum error correction - Publish research papers in scientific journals and present at conferences - Mentor research interns working on scientific projects You

Senior Machine Learning Engineer 3 Locations posted: Posted 30+ Days Ago

Data Center Cluster Operations Leader, AWS Data Centers Jeffersonville, Ohio, USA The Cluster Operations Leader manages Amazon Data Center Clusters and Colocation Operations within their assigned region. As the senior Infrastructure Operations leader, they oversee safety, security, availability, scaling, efficiency, and cost management. Infrastructure Operations consists of two core functions: Data Center Operations (DCO) and Data Center Engineering Operations (DCEO). DCO manages server-level platforms supporting Amazon Retail and Amazon Web Services, while DCEO handles mechanical, electrical, and controls systems for critical environments. We seek a leader with experience on both DCO and DCEO systems. Though operating independently, a physical security team works closely with these functions to protect people, assets, and customer data. The Cluster Operations Leader builds and leads high-performing teams across these functions. They manage daily operations while applying technical expertise to address emerging challenges. Their role requires both strategic oversight and the ability to dive deep into specific issues. As a vital member of the management team, the Cluster Operations Leader helps scale the world's largest cloud computing infrastructure. The position demands innovation to solve complex daily challenges and drive operational excellence. Success in this role requires strong technical knowledge on both engineering (electrical and mechanical) and compute systems, process optimization skills, and dedication to achieving world-class operational performance. Key job responsibilities - Hire, manage, and develop the operations team, including compute and engineering operations managers, and their teams - Achieve organizational performance goals for safety, security, availability, scaling, efficiency, and cost - Plan and execute Infrastructure

Senior Machine Learning Engineer Vista, CA posted: Posted 29 Days Ago

Sr. Principal Scientist, Amazon Health Science & Analytics Santa Clara, California, USA We are looking for a senior AI/ML researcher who can architect and guide a long-horizon ML strategy for a healthcare-focused organization building a durable, domain-specific healthcare foundation model and a high-reliability inference system. This person will define the technical vision for how our organization should leverage frontier models, when and how to build proprietary domain models, and how to sequence capability development into monetizable, customer-facing features while working high quality, safety, and regulatory constraints expected within healthcare. This individual will serve as a senior technical advisor on frontier-model integration, data strategy, evaluation and safety architecture. They will partner closely across product, engineering, clinical, and compliance teams to ensure that the AI system is safe, reliable, economically viable, and capable of compounding differentiation over time. The ideal candidate brings deep hands-on experience training or adapting large-scale models (LLMs, multimodal, or MoE systems), with strong grounding in distributed training, RLHF/DPO, retrieval and knowledge integration, evaluation harness design, and ML systems engineering. Demonstrated experience shipping ML capabilities in high-stakes or regulated domains-healthcare, autonomy, finance, or large enterprise platforms-is highly valuable, as is familiarity with clinical data, workflow constraints, or ISO-aligned or internationally acknowledged safety practices and standards. This hire must combine research depth, pragmatic product sense, and systems leadership to build a capability that endures for many years. Basic Qualifications: - MS/PhD in computer vision, machine learning, computer science, or related quantitative and computationally intensive disciplines. - Proven track record in

SDE, MLA hardware/software co-design, Annapurna Labs Machine Learning Acceleration Austin, Texas, USA As an SDE in the pre-silicon team, you will be responsible for driving the pre-silicon hardware/software co-development for our machine learning chips. You will work with architecture, design and emulation teams to build new silicon functionality. You will write bare-metal software to verify the end-to-end functionality of the SoC and the functionality and performance of different subsystems in the SoC. If you have a solid background in embedded software, system development or chip design, come join us! About the team Why AWS Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of

Embedded Software Engineer , EFA Annapurna Tel Aviv-Yafo, Tel Aviv, ISR Annapurna Labs, a key division within Amazon, seeks a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally. Cutting-Edge Technology: Work on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions at the intersection of hardware and software. Growth & Innovation: Benefit from AWS's resources, mentorship programs, and opportunities to publish technical content. Apply Now: Join a team that defines the future of cloud computing through embedded innovation. About the team Impact at Scale: Your work will power AWS's most advanced services, serving millions of customers. Basic Qualifications: - Bachelor's degree in Computer Science or a related field - 5+ years of professional experience in embedded software development, with strong proficiency in C/C++ - Hands-on experience developing firmware, device drivers, or user-space applications for embedded systems, including low-level hardware interaction Preferred Qualifications: - Knowledge of network design, protocols and troubleshooting - Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams - Experience with AWS or cloud technologies - Knowledge of hardware/software co-design. - Familiarity with storage protocols Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for

Quantum Research Engineer, Quantum Computing Pasadena, California, USA The Amazon Center for Quantum Computing (CQC) team is looking for a passionate, talented, and inventive Research Engineer specializing in hardware design for cryogenic environments. The ideal candidate should have expertise in 3D CAD (SolidWorks), thermal and structural FEA (Ansys/COMSOL), hardware design for cryogenic applications, design for manufacturing, and mechanical engineering principles. The candidate must have demonstrated experience driving designs through full product development cycles (requirements, conceptual design, detailed design, manufacturing, integration, and testing). Candidates must also have a strong background in both cryogenic mechanical engineering theory and implementation. Working effectively within a cross-functional team environment is critical. Key job responsibilities The CQC collaborates across teams and projects to offer state-of-the-art, cost-effective solutions for scaling the signal delivery to quantum processor systems at cryogenic temperatures. Equally important is the ability to scale the thermal performance and improve EMI mitigation of the cryogenic environment. You will work on the following: - High density novel packaging solutions for quantum processor units - Cryogenic mechanical design for novel cryogenic signal conditioning sub-assemblies - Cryogenic mechanical design for signal delivery systems - Simulation-driven designs (shielding, filtering, etc.) to reduce sources of EMI within the qubit environment. - Own end-to-end product development through requirements, design reports, design reviews, assembly/testing documentation, and final delivery A day in the life As you design and implement cryogenic hardware solutions, from requirements definition to deployment, you will also: - Participate in requirements, design, and test reviews and communicate with internal stakeholders

Solutions Architect, LATAM CSC SA Bogota, D.C., COL Join AWS to help organizations transform their business through cloud computing innovation. As a Solutions Architect, you'll partner with customers to design scalable, resilient cloud architectures that solve complex business challenges and drive measurable impact across diverse industries. We're seeking technologists who combine technical expertise with business acumen and strong communication skills to guide customers through their cloud journey-from strategy and design through successful implementation and optimization. Key job responsibilities - Design and present cloud architecture solutions that address customer business requirements, incorporating AWS services and best practices tailored to each organization's unique needs and constraints. - Partner with customers and internal AWS teams to understand technical requirements, business objectives, and organizational constraints, then translate these into scalable and resilient cloud solutions. - Guide customers through cloud adoption by educating them on best practices, migration strategies, and optimization opportunities to help them maximize value from their cloud investments. - Evaluate and improve architectural guidance by identifying gaps in existing resources and recommending updates based on customer feedback and evolving industry practices. - Support complex problem-solving for large-scale computing challenges, working collaboratively with customers and AWS specialists to validate solutions and overcome implementation obstacles. A day in the life In this role, you'll engage directly with customers to understand their business objectives and technical requirements, then architect cloud solutions that address their specific needs. You might spend your morning collaborating with a startup to design their initial cloud infrastructure, then transition to working

AI Engineer 2 Locations posted: Posted 30+ Days Ago