Strong Compute jobs

Sentinel Principal /Sr Principal Computer System Analyst 18894 United States-Utah-Roy

Hardware Validation Manager for Networking and Signal Integrity 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. As a Hardware Validation Manager in Google's design and test team, you will lead a team that qualifies a wide variety of networking hardware used in Google's data centers, including network interface cards (NICs), switches, cables, and other networking hardware, ensuring they meet Google's stringent requirements for performance, security, reliability, and features. 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 much more. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $188000 - $275000 (USD) + 20%

AI/ML Researcher (Computer Vision – Vision Language Model) KOR - Seoul, South Korea posted: Posted Today

Applied Scientist, Agentic Automated Reasoning Group Seattle, Washington, USA The Agentic Automated Reasoning Group is pioneering the next generation of neuro-symbolic tools-fusing breakthroughs in artificial intelligence with the scale of the cloud and our deep expertise in automated reasoning. If you're driven to push the boundaries of what's possible at the intersection of learning and logic, join us and help shape this transformational initiative. The Automated Reasoning checks team is looking for an Applied Scientist with experience in building scalable formal reasoning solutions that delight customers. You will be part of a world-class team building the next generation of tools and services by combining Automated Reasoning, GenAI, and Agentic AI at cloud computing scale. You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills and own the delivery of high-quality results in a fast-paced environment. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/ As an Applied Scientist in the Agentic Automated

Quantum Applied Scientist, Device and Architecture Theory, Center for Quantum Computing Pasadena, California, USA 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. As a Quantum Applied Scientist on our Device and Architecture Theory team, you will focus on the theory and modeling of our superconducting qubit processors. You will work closely with our measurement, design, and calibration teams to interpret experimental results, inform new processor designs, and optimize device performance. You will also conduct pathfinding research to guide the development of next-generation processors, focusing on device-level physics, novel qubits and gate schemes, and implementations of error correcting codes. We are looking for candidates with excellent problem-solving and communication skills, and with a genuine passion for applied, collaborative work. Key job responsibilities - Develop theoretical and numerical models of superconducting qubit processors, working across theory, measurement, design, and calibration teams to validate predictions and translate modeling insights into device improvements - Conduct pathfinding research on novel qubit designs, gate schemes, and processor architectures to push the performance of next-generation devices - Communicate scientific findings across the CQC, and, when appropriate, share results externally via conference presentations and publications in scientific journals - Stay abreast of new research developments in the field of quantum computation 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

Senior Staff Research Scientist, Quantum Error Correction, Quantum AI Goleta, CA, USA In this role, you will be a senior researcher on the quantum error correction team within Quantum AI, responsible for setting research agendas into new and improved forms of quantum error correction. You will explore exciting research directions including quantum LDPC codes and compact circuits for non-clifford gates such as magic-state cultivation. As a Research Scientist, you will actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The full potential of quantum computing will be unlocked with a large-scale computer capable of complex, error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits Learn more about benefits at Google . Develop new quantum codes that achieve high encoding rate, high distance, or favorable layout in hardware. Develop new constructions for non-clifford logical gates. Analyze fault-tolerant circuits for syndrome measurement and logical operations. Minimum qualifications: PhD or equivalent experience in a domain relevant to quantum computing, such as math, physics, computer science, or electrical engineering. 10 years of experience

Algorithm Software Engineer San Diego, CA posted: Posted 30+ Days Ago

Senior AI Engineer San Jose posted: Posted 30+ Days Ago

Senior Product Manager, Serverless Compute Vancouver, British Columbia, CAN Amazon Web Services (AWS) is looking for a Senior Product Manager to join our Serverless Compute team based in Vancouver, Canada. Our team owns the products that make it radically easier for builders to build scalable, reliable, and intelligent cloud applications without managing infrastructure. Our portfolio includes some of the most widely adopted services in cloud computing: AWS Lambda, AWS Step Functions, Amazon EventBridge, and AWS Elastic Beanstalk. Together, these services power millions of customer workloads, from event-driven architectures and workflow orchestration to full application deployment. Our latest innovations are defining how customers build complex, multi-step, AI-native applications on AWS, including durable execution for AI agents and next-generation compute primitives. We're looking for a product manager that's passionate about solving customer problems and has demonstrated success in turning ambiguous customer needs into successful products. In this role, you will help evolve our serverless services by providing new capabilities and intuitive developer experiences that make it easier to build applications without the need to become an expert in distributed systems. If you're excited by cloud computing, want to help lead from the innovative edge, and have a deep-rooted passion in the evolution of computing and application development platforms, then we want to talk to you! As a Senior Product Manager, you will be a critical part of the PM organization that owns the business model and P&L, prioritization of the product roadmap, customer segmentation and pricing, and demand generation for impactful new

Senior AI Software Engineer Guadalajara posted: Posted 30+ Days Ago

Research Scientist, Optical Engineering Neutral Atoms, Quantum AI Boulder, CO, USA As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. The full potential of quantum computing will be unlocked with a computer capable of error-corrected computations. Google Quantum AI's mission is to build this computer and unlock solutions to classically intractable problems. Our roadmap is focused on advancing the capabilities of quantum computing and enabling meaningful applications. Google Research is building the next generation of intelligent systems for all Google products. To achieve this, we're working on projects that utilize the latest computer science techniques

Sr. Machine Learning - Compiler Engineer III, AWS Neuron, Annapurna Labs Cupertino, California, USA Do you want to be part of AI revolution? At AWS our vision is to make deep learning pervasive for everyday developers and to democratize access to cutting-edge infrastructure. In order to deliver on that vision, we've created innovative software and hardware solutions that make it possible. AWS Neuron is the SDK that optimizes the performance of complex ML models executed on AWS Inferentia and Trainium, our custom chips designed to accelerate deep-learning workloads This role is for a senior software engineer in the Compiler team for AWS Neuron. As part of this role, you will be responsible for building next generation Neuron compiler which transforms ML models written in ML frameworks (e.g, PyTorch, TensorFlow, and JAX) to be deployed AWS Inferentia and Trainium based servers in the Amazon cloud. You will be responsible for solving hard compiler optimization problems to achieve optimum performance for variety of ML model families including massive scale large language models like Llama, Deepseek, and beyond as well as stable diffusion, vision transformers and multi-model models. You will be required to understand how these models work inside-out to make informed decisions on how to best coax the compiler to generate optimal implementation instruction. You will leverage your technical communications skill to partner with other teams and will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. Experience in object-oriented languages like C++/Java is a must,

GPU Software Engineer Arlington, VA posted: Posted 30+ Days Ago

Computer Vision Scientist, International Machine Learning, Australia Melbourne, Victoria, AUS ** Join Our Innovative Computer Vision Team at Amazon, Australia ** Are you passionate about developing generative models to transform the next generation of e-commerce platform and build AI models used by millions of customers? We invite you to be part of our high-performing Computer Vision team at Amazon located in Melbourne, Australia. As a member of our international Machine Learning group, you will play a key role in developing generative AI solutions that leverage vast amounts of Amazon data and powerful cloud computing resources. Our mission is to create next-generation media content that delivers an unforgettable shopping experience for our customers in emerging marketplaces. We are seeking talented Computer Vision Scientists with a Ph.D. in a related field. This is an opportunity for you to build innovative AI techniques that tackle real-world business challenges. Join a team dedicated to advancing AI technology at Amazon and transforming it into impactful business solutions. #austechjobs Key job responsibilities - Develop scalable machine learning and computer vision solutions to revamp the media block of our catalog - Analyze and extract meaningful insights from large volumes of Amazon's data to automate and enhance content - Design, build, and evaluate generative AI models tailored to our business use cases - Communicate clearly with business stakeholders to understand and align on requirements - Conduct cutting-edge research and implement novel machine learning techniques to solve customer problems - Mentor interns and junior scientists - Publish papers at

Senior Software Development Engineer, AI/ML, AWS Neuron, Model Inference Cupertino, California, USA The Annapurna Labs team at Amazon Web Services (AWS) builds AWS Neuron, the software development kit used to accelerate deep learning and GenAI workloads on Amazon's custom machine learning accelerators, Inferentia and Trainium. The AWS Neuron SDK, developed by the Annapurna Labs team at AWS, is the backbone for accelerating deep learning and GenAI workloads on Amazon's Inferentia and Trainium ML accelerators. This comprehensive toolkit includes an ML compiler, runtime, and application framework that seamlessly integrates with popular ML frameworks like PyTorch and JAX enabling unparalleled ML inference and training performance. The Inference Enablement and Acceleration team is at the forefront of running a wide range of models and supporting novel architecture alongside maximizing their performance for AWS's custom ML accelerators. Working across the stack from PyTorch till the hardware-software boundary, our engineers build systematic infrastructure, innovate new methods and create high-performance kernels for ML functions, ensuring every compute unit is fine tuned for optimal performance for our customers' demanding workloads. We combine deep hardware knowledge with ML expertise to push the boundaries of what's possible in AI acceleration. As part of the broader Neuron organization, our team works across multiple technology layers - from frameworks and kernels and collaborate with compiler to runtime and collectives. We not only optimize current performance but also contribute to future architecture designs, working closely with customers to enable their models and ensure optimal performance. This role offers a unique opportunity to

Site Reliability Engineer, Region Services London, England, GBR Would you like to help implement innovative cloud computing solutions and solve the most complex technical problems? Are you excited by the prospect of building and running the world's largest cloud computing infrastructure to provide a better world for future generations? Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. With AWS, customers provision compute power, storage, database, and other cloud resources as their business demands them. To meet the growing demand for AWS Services around the globe, we need exceptionally motivated people who are driven by learning and innovation. 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. If you join us, you'll be part of a world-class team in a dynamic environment that has the entrepreneurial feel of a start-up. This is an opportunity to operate and engineer systems on a massive scale, and to gain world class experience in cloud computing. You'll be surrounded

2026 Fall Applied Science Internship - Computer Vision - United States, PhD Student Science Recruiting Seattle, Washington, USA Shape the Future of Visual Intelligence Are you passionate about pushing the boundaries of computer vision and shaping the future of visual intelligence? Join Amazon and embark on an exciting journey where you'll develop cutting-edge algorithms and models that power our groundbreaking computer vision services, including Amazon Rekognition, Amazon Go, Visual Search, and more! At Amazon, we're combining computer vision, mobile robots, advanced end-of-arm tooling, and high-degree of freedom movement to solve real-world problems at an unprecedented scale. As an intern, you'll have the opportunity to build innovative solutions where visual input helps customers shop, anticipate technological advances, work with leading-edge technology, focus on highly targeted customer use-cases, and launch products that solve problems for Amazon customers worldwide. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated. Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available for Computer Vision Applied Science Internships in, but not limited to, Arlington, VA; Boston, MA; Cupertino, CA; Minneapolis, MN;

Principal Engineer AI/ML 3 Locations posted: Posted 30+ Days Ago

Robotics & Computer Vision Engineer, GES NA Ops Engineering Bellevue, Washington, USA Amazon is seeking an innovative, systems-oriented Computer Vision & Automation Engineer to help design and deploy next-generation intelligent automation solutions across global fulfillment networks. This role focuses on advancing physical AI and autonomous systems, including SLAM-based navigation, localization, and autonomous decision-making in real-world environments The ideal candidate is a hands-on interdisciplinary engineer with expertise spanning hardware systems or embedded/edge computing, and automation environments, capable of bridging the gap between science (AI/ML models) and real-world deployment in industrial settings. As a Robotics Engineer, you will partner closely with scientists, controls engineers, and operations teams to translate computer vision and AI capabilities into scalable, production-grade systems. You will lead the development and deployment of sensor-driven automation solutions, ensuring seamless integration across hardware, software, and control layers. Key job responsibilities - Lead end-to-end deployment of computer vision-enabled automation systems across material handling environments, from concept through production rollout - Design and develop integrated systems combining cameras, sensors, edge compute devices, and control interfaces to enable real-time monitoring and decision-making - Bridge AI/ML models with physical systems by enabling reliable data capture, processing pipelines, and low-latency inference on industrial equipment - Own hardware-software integration, including device selection, network configuration, edge processing, and connectivity to cloud or on-prem systems - Work closely with scientists to productionize computer vision models, ensuring robustness, scalability, and performance in live operational environments - Develop and execute system validation strategies including test plans, field trials, and performance benchmarking

Python Engineer, Agentic AI DC - Washington, 1325 G ST NW STE 300 posted: Posted 11 Days Ago

Senior Full Stack Developer Bengaluru - BLR1 Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing - and we are excited to help digitally transform their operations at scale. Working at Samsara means you'll help define the future of physical operations and be on a team that's shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you'll have the autonomy and support to make an impact as we build for the long term. About the role: We at Samsara are seeking Senior Business Application Engineer II to join our Corporate Systems team within the Automation Center of Excellence (ACE). This is primarily a full-stack development role - you will design, build, and own web applications, back-end services, and integrations that power our enterprise systems ecosystem. In addition to full-stack delivery, you will work on AI-driven automation solutions, helping ACE explore agentic automation, run targeted POCs, and bring the best ideas to production. ACE delivers high-value enterprise automations across

AEGIS Computer Network Subject Matter Expert and Tactical and Technical Trainer Dahlgren, VA posted: Posted 15 Days Ago

Sr. Firmware Engineer, Annapurna Labs, Machine Learning Acceleration - Power and Performance Austin, Texas, USA AWS Utility Computing (UC) provides product 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 seeking a Senior Firmware Engineer to join our Power Architecture team, developing firmware algorithms for power and performance management on ML Acceleration Chips. In this role, you will design and implement intelligent control algorithms, optimization strategies, and real-time decision-making systems that maximize performance while managing power and thermal constraints. You will develop sophisticated firmware that monitors system state, makes dynamic trade-offs between power and performance, and implements adaptive control policies. To enable this work, you will also build instrumentation and tracing capabilities that provide the telemetry needed to develop, tune, and validate your algorithms, with collected data optionally post-processed using cloud-based analytics. Key job responsibilities - Design and implement firmware algorithms for power management, thermal control, and performance optimization on ML acceleration hardware - Develop real-time control policies and state machines that dynamically balance power, thermal, and performance constraints - Create optimization algorithms for resource allocation, frequency/voltage scaling, and workload scheduling - Implement efficient data structures and algorithms suitable for embedded, resource-constrained environments - Design

Principal Scientist – Computational Biology & Translational AI (Oncology Precision Medicine) 2 Locations posted: Posted 30+ Days Ago