Strong Compute jobs

Machine Learning Engineer, Alexa AI Boston, Massachusetts, USA The Alexa AI team is looking for a passionate, talented, and inventive Machine Learning Engineer with a strong machine learning background, to build capabilities such as fine tuning, distillation, and LLM Inference. As a ML engineer with the Alexa AI team, you will be responsible for machine learning platform focus on LLM training, production deployment, and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and other MLEs, leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of Generative Artificial Intelligence solutions. Key job responsibilities The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment. Responsibilities- - Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility. - Work closely with Applied scientists to process data, scale machine learning models - Will work in an Agile/Scrum environment to deliver high quality software. About the team Central Analytics and Research Science (CARS) is an analytics, software, and science team within Amazon's Alexa AI organization. Our mission is

Data Scientist San Francisco posted: Posted Yesterday

SAP China iXp Intern - Developer for Web Application - Xi'an SAP China iXp Intern - Developer for Web Application - Xi'an | Country China | Internal Posting Location Xi 'an We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you bring: We're looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful innovative projects and are energized by lifelong learning. Currently enrolled in university as full-time student Commitment of 5 days per week for 6-month internship onsite Bachelor or above in computer science, software engineering, computer engineering, or a related discipline Experience in UI development using JavaScript Experience developing on Windows, Mac, and/or Linux Strong problem solving and communication skills Experience with Java, Node.js, JavaScript, jQuery, CSS, XML, HTML5, and/or full-stack development is a plus Significant hobby programming experience (including personal projects, hackathons and programming contests) would be appealing Strong academic performance is preferred Proficiency in English as the daily communication will be done in English Meet your team:

Physical Design Technical Lead, ASIC, TPU Sunnyvale, CA, USA Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration. Google's Tensor Processing Units (TPUs) are incredibly complex, pushing the boundaries of physical design, power, and performance. In this role, you will provide technical leadership for the physical design of our next-generation AI silicon. Because of the sheer scale of our chips, our physical design leadership is highly dynamic; you will be expected to drive end-to-end execution with a scope that scales from owning highly complex, critical macro-subsystems up to overarching project-wide top-level implementation, depending on project needs. 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 the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and

Senior Financial Analyst, AWS Finance, Amazon Software Builder Experience Seattle, Washington, USA Are you looking for your next big opportunity? Want a high-visibility finance role directly influencing the future of a successful cloud computing business? ​Please join the AWS Finance team! AWS Finance seeks a world class Sr. Financial Analyst. This position works closely with senior business partners and finance professionals at all levels to drive thoughtful analysis and controllership on AWS's products. Key job responsibilities - Influencing business partner decisions through education and collaboration on costs, pricing, customer adoption, etc. - Collaborating with business partners to build and maintain detailed cost models by product/service - Driving the financial planning/budgeting activities - Preparing and providing financial reporting including communicating future financial risks and opportunities to the business - Developing and standardizing financial reporting - Working on ad hoc financial analyses and projects A day in the life A successful candidate will implement and drive the core financial processes for the business. Additional responsibilities include helping refine the capacity planning processes and modeling improvements to help drive positive Free Cash Flow. This role requires a self-starter with a strong financial modeling background, problem solving skills, a keen attention to detail, ability to work in a fast-paced environment with ambiguous situations, and solid skills in project management. This role has regular interaction with various business units across Amazon and requires strong people skills. About the team Amazon Web Services (AWS) is a pioneer in blazing the new trails of cloud computing. AWS

Silicon SoC DFT Technical Lead, Google Cloud Bengaluru, Karnataka, India In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. 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 the driving team behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Define and document the comprehensive DFT architecture for multi-core SoCs, including strategies for hierarchical scan compression, Memory BIST (MBIST) for huge memory instances, functional BISTs, Analog components, logic BIST, high-speed I/O loopback, and

Senior Category Manager, GPO Luxembourg, LUX Our overall mission is simple: we want Amazon to be the place where our customers can find, discover and buy anything online. Whatever our customers want, we will find the means to deliver it. To get there, we need exceptionally talented, bright, and driven people. With your help, Amazon will continue to enable people to discover new worlds and implement innovation. This is your chance to make history. The EU GPO EF team is looking for a Senior Category Manager with a strong delivery record and proven project management experience to own strategic, tactical and cross-functional sourcing programs in external 3PL procurement. Job Description: The ideal candidate will be an analytical leader with procurement experience in complex, international, or technical environments. The individual needs strong communication skills and the experience to influence and support cross-functional stakeholder groups across all levels of the organization. The ideal candidate takes initiative and demonstrates ownership in driving business goals, while being agile to manage change in a rapidly growing division. Key leadership traits required include the ability to influence and form strong partnerships with business leaders, and operational excellence in managing multiple complex and competing priorities simultaneously. The ideal candidate must have strong written skills and should be able to go through large set of documents with ease. The candidate must have excellent computer skills in Word, Excel, Power Bi, Tableau, Quick sight. Responsibilities include: · Drive appropriate commercial relationships with suppliers, with a principal objective of achieving

Computer Based Training Specialist (Computer Based Training) 2 Locations posted: Posted Yesterday

Applied Scientist, Central Seller Fulfillment Bengaluru, Karnataka, IND We are seeking a stellar Machine Learning scientist who has experience developing and shipping large scale ML products with visible customer impact. We would prefer if your previous work has been in developing scalable Agentic, RL or forecasting systems. Strong academic background in Statistics, Machine Learning & Deep Learning is required with Tier -1 publications being a plus. • Master's degree in CS or ML related fields • Scientist/Tech Lead creating and shipping impactful ML products. • Ability to write clear, structured and modularized code in Python. • Expertise in Deep Learning frameworks such as Tensorflow, Keras and Pytorch & Agentic frameworks such as LangChain, Crew AI etc. • Industry experience designing complex scalable AI systems. • Experience and technical expertise across various science domains. Crucial ones being statistics, deep & machine learning. • Experience creating data pipelines & proficient in querying data from Spark/HIVE/Redshift/other large scale data warehousing platforms. • Expert in distilling informal customer requirements into problem definitions, dealing with ambiguity and formulating ML products to solve these problems. Key job responsibilities In this position, you will be a key contributor (with direct leadership visibility) building, productionizing (real & batch) and measuring impact of state of the art personalized Gen AI systems for Amazon global selling partners and contribute to Amazon wide research in this area in the form of publications and white papers. You will work with global leaders and teams across time zones on a regular basis. About

AI Focused Strata Domain Consultant Office - Japan - Tokyo posted: Posted 30+ Days Ago

Senior Machine Learning Engineer (Fraud) Remote Canada

Software Development Manager, LLM Inference Model Enablement, Neuron SDK Cupertino, California, USA DESCRIPTION AWS Utility Computing (UC) provides product innovations, from foundational services such as Amazon Elastic Compute Cloud (EC2), to new product innovations that continue to set AWS's services and features apart in the industry. We develop AWS Neuron, the complete software stack for Trainium, Amazon's custom cloud-scale machine learning accelerators. Come optimize LLMs such as Llama and GPT-OSS to run really fast on Trainium. As the SDM for the LLM Inference Model Enablement team, you will lead a team of expert AI/ML engineers to onboard and optimize state-of-the-art open-source and customer LLMs, both dense and MoE, for inference on Neuron and Trainium and Inferentia accelerators. You will also drive improvements in model enablement speed and experience, while advancing inference usability and quality through inference features, infrastructure optimization, tools, and automation. The ideal candidate will have a strong background in LLM model architectures, model performance optimizations, and inference techniques, such as delivering high-performance models using distributed inference libraries. You should be capable of managing demanding, fast-changing priorities. You should have a strong technical ability to understand and deliver as part of a vertically integrated system stack consisting of the PyTorch inference library, Neuron compiler, runtime, and collectives. A day in the life You will work with your senior management and technical leaders to define the model enablement and performance optimization for the latest SOTA LLMs, build and deliver them to customers. Meanwhile, lead the team to continue improving the

ML Compiler Engineer II - Neuron Kernel Interface , Annapurna Labs Seattle, Washington, USA The AWS Neuron Compiler team is actively seeking skilled compiler engineers to join our efforts in developing a state-of-the-art deep learning compiler stack. This stack is designed to optimize application models across diverse domains, including Large Language and Vision, originating from leading frameworks such as PyTorch, TensorFlow, and JAX. Your role will involve working closely with our custom-built Machine Learning accelerators, including Inferentia/Trainium, which represent the forefront of AWS innovation for advanced ML capabilities, powering solutions like Generative AI. Key job responsibilities As a ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, you will develop and maintain tooling for best-in-class technology for raising the bar of the Neuron Compiler's accuracy and reliability. You will help lead the efforts building fuzzers and specification synthesis tooling for our LLVM-based compiler. You will work in a team with a science focus, and strive to push what we do to the edge of what is known, to best deliver our customers. Strong software development skills using C++/Python are critical to this role. A science background in compiler development is strongly preferred. A background in Machine Learning and AI accelerators is preferred, but not required. In order to be considered for this role, candidates must be currently located or willing to relocate to Seattle (Preferred), Cupertino, Austin, or Toronto. Basic Qualifications: - 3+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing

Principal Application Software Engineer BENGALURU, KARNATAKA, India, IN As part of the Oracle Health and Analytics Cloud Performance Engineering (PSR) team, you will be a key technical leader focused on critical aspect of optimizing Performance, Scalability, Availability, and Reliability for Oracle's mission-critical Cloud Services. Your role covers all software development lifecycle stages from a performance perspective: architectural and design reviews, benchmarking, sizing, and resolving production performance issues to maximize customer satisfaction and success. You'll champion service reliability and efficiency, manage system changes, monitor infrastructure, respond to incidents, and plan capacity across entire cloud service ecosystems. You will own significant projects/services, establish your influence within the team, act as a subject matter expert, and contribute to operational tooling and process improvements. As an IC4, you are expected to leverage your extensive experience, which includes a minimum of seven plus years in software engineering or a related field, a solid understanding of architectural concepts surrounding Cloud Computing and Enterprise Software Development, and proficiency in Java/J2EE, with additional experience in Python being advantageous. Scope & Required Experience (IC4) As an IC4, you will focus on complex challenges within specific projects or applications. 7+ years of software engineering or related experience Strong understanding of cloud computing and enterprise software architecture Proficient with Java/J2EE Strong analytical, troubleshooting, and problem-solving skills Experience in microservices architecture Expertise in load testing (JMeter), profiling, monitoring and analysis tools Experience in resolving performance related, scaling, and stability issues Exposure to AI/ML, prompt engineering, NLP, and speech processing Knowledge of open-source

ASIC Power Engineer, ML Accelerators Sunnyvale, CA, USA In this role, you'll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google's most demanding AI/ML applications. You'll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems. As an ASIC Design Engineer, you will be part of a team developing ASICs used to accelerate computation in data centers. You will have dynamic, multi-faceted responsibilities in areas such as project definition, design, and implementation. You will participate in the design, architecture, documentation, and implementation of the next generation of data center accelerators. 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 the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development

Software Development Engineer (ML), AGI Customization, AGI Customization Boston, Massachusetts, USA The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive ML Engineer with a strong machine learning background, to build customization capabilities such as fine tuning and distillation. As a ML engineer with the AGI team, you will be responsible for leading the development of novel LLM training techniques and optimizations to advance the state of LLMs. You will collaborate closely with Applied Scientists and leverage Amazon's heterogeneous data sources and large-scale computing resources to accelerate development of multimodal Large Language Models and Generative Artificial Intelligence solutions. Key job responsibilities The ideal candidate is passionate about new opportunities and has a demonstrable track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. Creating reliable, scalable, and high performance AI products requires exceptional technical expertise, a sound understanding of the fundamentals of Computer Science and Machine Learning. This person has thrived and succeeded in delivering high quality technology products/services in a hyper-growth environment. Responsibilities- Will work with other team engineers to investigate design approaches, prototype new technology and evaluate technical feasibility. Work closely with Applied scientists to process data, scale machine learning models while optimizing Will work in an Agile/Scrum environment to deliver high quality software. About the team Our highly talented team is a broad mix of experience levels and tenures, and we're building an environment

Sr. HiTech/Semiconductor Partner Solutions Architect, AMER Partner Industry & Solutions Seattle, Washington, USA Amazon Web Services (AWS) is looking for a Senior Partner Solutions Architect (PSA) with domain expertise in the Semiconductor and High-Tech Electronics industry. As a HiTech PSA, you will have the opportunity to deliver on our strategy of accelerating adoption of AWS cloud computing services through our consulting and technology partners and their semiconductor and electronics customers. AWS partners include the largest systems integrators, EDA tool providers, foundries, and innovative technology companies who are using AWS as their cloud platform of choice. This role will focus on working with multiple strategic consulting and technology partners to define and build technical solutions that drive top-of-funnel pipeline creation and deal progression. The ideal candidate will possess deep technical skill in semiconductor design workflows, EDA tool architectures, high-performance computing, storage architectures, and cloud computing, as well as customer-facing and technical sales skills at all levels of a sales organization. The ideal candidate should also have a demonstrated ability to think strategically about business, product, and technical challenges in the semiconductor industry. The ideal candidate is an influencer by nature and must be seen as someone partners and customers are eager to engage with and have a strong hands-on approach. They will be the subject matter expert for the Semiconductor/HiTech industry to become a trusted advisor to sales teams and customers, driving customer outcomes through partners. They will be responsible for accelerating customers' cloud adoption in the semiconductor industry, including chip

DevOps Engineering AMTS Virginia - Herndon Overview of the Role We are looking for an early-career DevOps engineer to join a team of highly motivated software, systems and security engineers, working on infrastructure at scale. Be part of the team that solves infrastructure deployment problems with software, delivering high velocity and high quality infrastructure in public cloud environments. Responsibilities Build a foundation in solving infrastructure problems with code, with a focus on compute capacity and Kubernetes deployments at scale Come up to speed with Hyperforce platform tooling supporting Commercial and GovCloud deployments, developing expertise in Infrastructure and Service builds (Day0) and redeployment (Day2) operations Transform manual processes into automated governance solutions Create and maintain documentation for systems and processes Collaborate with various Infrastructure teams across Salesforce, growing your influence and cross-functional skills Work with a highly innovative team of developers, open-source committers, and architects - researching the right tools for the job, and helping build them when they don't exist yet What You'll Learn Large-scale production infrastructure management within 3rd party cloud service providers (AWS and beyond) Ownership and accountability for infrastructure domains, with mentorship from senior engineers Real-world DevOps practices across the full infrastructure lifecycle Required Qualifications Strong background in Computer Science, Computer Engineering, or a related field Must be located in North America Familiarity with AWS or other cloud environments through coursework, personal projects, or internships Exposure to containers (Docker) and container orchestration concepts (Kubernetes) Coursework or project experience with Infrastructure as Code tools (Terraform, Ansible, CloudFormation, or

Senior Data Scientist & Machine Learning Researcher 2 Locations posted: Posted 30+ Days Ago

Machine Learning Engineer II (Fraud) Remote Canada

Communications Specialist, Chips, Amazon Seattle, Washington, USA Amazon is inventing at the frontier of computing - designing custom chips that power cloud infrastructure and AI workloads at unprecedented scale. We're seeking a communications professional to join our team and help tell that story. For over a decade, Amazon has designed custom chips that have transformed cloud computing and artificial intelligence. What began with the 2015 acquisition of Annapurna Labs has grown into a $10+ billion business. Today, Graviton processors run applications for 90% of AWS's largest customers and Trainium chips train frontier AI models including one of the world's largest AI supercomputers. As PR Specialist for Chips, you'll support how customers, media, and the industry understand Amazon's leadership in semiconductor design and advanced computing hardware. You'll help translate chip architecture breakthroughs and large-scale deployments into clear, credible stories - contributing to major product launches, customer wins, and technical announcements. This is a unique opportunity to gain high-visibility experience on one of Amazon's most strategic communications programs - while building deep connections across the company's global communications organization. The ideal candidate will be organized, resourceful, and comfortable managing competing priorities in a fast-moving environment. You'll need strong writing skills, good project management instincts, and the initiative to see what needs doing and do it - without waiting to be asked. Key job responsibilities - Drive communications support for product launches, strategic announcements, and thought leadership programs - Build media relationships and pitch stories that advance Amazon's narrative in top technology publications

Engineering Director, Data Center Hardware Sunnyvale, CA, USA As the Director of Hardware Engineering, you will set the technical vision and lead the execution for our next generation of compute and machine learning infrastructure. Operating at the highest levels of technical leadership, you will be the driving force behind the integration of complex ASICs, TPUs, GPUs, and advanced networking hardware into our data center roadmap. This role requires a hardware leader who has lived through the trenches of high-velocity development and understands the brutal realities of deploying at hyperscale. You will bridge the gap between bleeding-edge silicon design and massive volume data center deployment, anticipating fleet-level challenges before they happen. You will guide cross-functional teams, align external JDMs and CMs, and ensure our hardware scales reliably meet the unrelenting demands of our global infrastructure. Our Platforms Infrastructure Engineering team designs and builds the hardware and software technologies that power all of Google's services. Our computational challenges are complex and unique, enabled by cutting-edge custom hardware designed and made in-house. As a hardware engineer, you will design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You will see those systems from concept all the way through to high-volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers, affecting millions of Google users. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $275000 - $383000 (USD) + 30%

Sr. Power Engineer, Annapurna Labs, Machine Learning Hardware Austin, Texas, 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 customers who require specialized security solutions for their cloud services. Annapurna Labs (our organization within AWS UC) designs silicon and software that accelerates innovation. Customers choose us to create cloud solutions that solve challenges that were unimaginable a short time ago-even yesterday. Our custom chips, accelerators, and software stacks enable us to take on technical challenges that have never been seen before, and deliver results that help our customers change the world. We are looking for a Hardware Design Engineer with strong skills in both hardware and software. In this role you will be responsible for architecting, designing, simulating and validating power delivery multi-source solutions on machine learning products and support those designs in AWS fleet through their entire life cycle. You will work cross functionally with AWS monitoring teams, members of the Hardware Design team, supply chain team, vendors, ODMs and additional teams across AWS to improve quality and reliability of products operating in the fleet. Key job

Senior Software Engineer, AI Compilers Hyderabad posted: Posted 21 Days Ago