Qube Research & Technologies jobs

Associate Director – AI Software, Applied Research & Technology – Defense Technologies (Onsite) US-IA-CEDAR RAPIDS-108 ~ 400 Collins Rd NE ~ BLDG 108 posted: Posted 30+ Days Ago

Senior Security Researcher - Enterprise Security Research Israel As a member of our research team, you will investigate emerging attack surfaces across operating systems, cloud environments, and modern enterprise technologies. You will reverse-engineer complex software, discover vulnerabilities, and conduct original, publishable research. Researchers are encouraged to explore new ideas and turn promising findings into published research shared with the global security community.

Principal Security Researcher - Enterprise Security Research Israel As a member of our research team, you will investigate emerging attack surfaces across operating systems, cloud environments, and modern enterprise technologies. You will reverse-engineer complex software, discover vulnerabilities, and conduct original, publishable research. Researchers are encouraged to explore new ideas and turn promising findings into published research shared with the global security community.

Research Analyst - Advanced Digital Technologies Bengaluru posted: Posted 30+ Days Ago

UX Researcher II, Global Procurement Technology Bellevue, Washington, USA Amazon's Global Procurement Organization is on a mission to transform how procurement works at Amazon scale. We build the technology that powers billions of dollars in purchasing decisions, and we need a UX Research & Design Lead to shape the future of that experience. In this role, you will: - Lead end-to-end UX research and design for both external-facing and internal-facing procurement tools used across Amazon's global operations. - Conduct user research, usability studies, and data analysis to deeply understand customer needs and translate insights into design decisions. - Leverage AI and emerging technologies to simplify complex user journeys, drive efficiency, and reimagine how teams interact with procurement systems - Partner with engineering, product, and business stakeholders to translate ambiguous, large-scale problems into intuitive experiences - You'll spend the majority of your time (75%) planning and conducting user research - from generative discovery through evaluative testing - to uncover how people understand, trust, and interact with AI systems. The remaining 25% of your time will be hands-on UX design work, translating research insights into interaction concepts, prototypes, and design artifacts. *Why you'll love it here:* Our team thinks big and moves fast. We're passionate about innovating on behalf of our customers and tackling problems at a scale few organizations ever encounter. We leverage AI in all aspects of our job and think creatively to create the right digital solutions to power procurement at Amazon. You'll work in a fast paced environment

Technology Director - Integrated Manufacturing Technologies - Aerospace Research Niskayuna posted: Posted 30+ Days Ago

Principal Cyber Research Scientist 3 Locations posted: Posted 30+ Days Ago

Alternant(e) Lean - Amélioration continue High Voltage Technology Research Center F/H Villeurbanne posted: Posted 30+ Days Ago

Alternant(e) Lean - Amélioration continue High Voltage Technology Research Center F/H Villeurbanne posted: Posted 11 Days Ago

Technology Director - Intelligent Systems - Aerospace Research Niskayuna posted: Posted 30+ Days Ago

Technology Director - Electrical Systems - Aerospace Research Niskayuna posted: Posted 30+ Days Ago

Research Scientist, Efficient AI Mountain View, CA, 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. Our team develops resource-efficient architectures, model training/inference recipes, and model compression techniques to make machine learning models faster, smaller, and better. Our mission is to push the boundaries of model efficiency, enabling Google's flagship models to run efficiently across Google's massive server-side deployments. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every

Principal Cyber Researcher Gloucester, South Gloucestershire posted: Posted 30+ Days Ago

Quantitative UX Researcher, Applied AI Solutions Seattle, Washington, USA We are seeking a Quantitative UX Researcher who is excited to help shape the future of AI-native business applications. This is an opportunity to influence product direction by helping teams understand how customers interact with AI-powered experiences and what drives adoption, trust, usability, and customer value. In this role, you will lead quantitative research that helps teams build, test, and learn faster. You will turn product questions into clear hypotheses, success metrics, well-designed studies, and actionable insights. Your work will help teams evaluate new ideas, improve existing experiences, and make better product decisions. This is a quant-first role with mixed-methods responsibilities as needed. We are looking for a researcher with strong skills in experimentation, analytics, behavioral analysis, and causal inference. You should be comfortable working in ambiguous, early-stage spaces and helping teams define how success should be measured for new AI-powered products. You will identify meaningful behavioral and attitudinal signals, measure product performance, and recommend improvements based on the evidence. Key job responsibilities - Lead quantitative and mixed-methods research for AI-powered products, including early-stage concepts and evolving customer experiences. - Own studies from end to end, including framing research questions, defining hypotheses, selecting methods, identifying measures, analyzing results, and communicating recommendations. - Design and run experiments, surveys, and behavioral analyses that help teams understand customer needs, product performance, and opportunities for improvement. - Define and track success metrics related to adoption, trust, usability, comprehension, and customer value in AI-powered experiences. -

Senior Research Scientist, Superconducting Digital Electronics, Quantum AI Cambridge, MA, USA; +5 more As a Research Scientist, your primary focus will be designing and simulating superconductor digital logic circuits (such as single flux quantum (SFQ) logic and adiabatic quantum flux parametron (AQFP) logic) for qubit control and readout. You will engage in co-design loops with qubit designers and superconducting digital circuit designers, utilizing advanced IC design tools, numerical circuit simulation techniques and 3D electromagnetic modeling to optimize signal integrity, minimize crosstalk, manage thermal budgets, and aim performance metrics required for coherent control of qubits. You will also interface with fabrication engineers to help define and establish IC design standards that are compatible for both the sensitive superconducting qubits and the co-located cryogenic control electronics. This work is critical to building a fully integrated, modular chip stack that combines superconducting qubits with their control electronics directly within the cryogenic environment, accelerating the path toward large-scale, error-corrected quantum computer. This work is critical to building a fully integrated, modular chip stack that combines superconducting qubits with their control electronics directly within the cryogenic environment, accelerating the path toward large-scale, error-corrected quantum computers. 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

Principal Tech Business Development, Academic Research Initiatives (ARI) Seattle, Washington, USA Amazon's ARI team works closely with Amazon stakeholders to articulate near/mid/long-term innovation requirements and to find and formalize partnerships with world-class researchers and academic startups. As a Principal for Science Investments, you own the full lifecycle: discovery of the world's most promising researchers, institutions, and emerging technologies; development of the partnerships that bring their work to bear on Amazon's hardest scientific challenges; and measuring impact to prove and improve the value of every investment. You'll scout the global research landscape, see around corners on emerging science, and architect the connections between external innovators and Amazon's technology teams. You'll engage across nearly all of Amazon's technology organizations, influence SVP-level leaders without authority, and shape how Amazon invests in academic research to accelerate long-term innovation. Key job responsibilities Discovery: Find What's Next • Scout and identify world-class academic institutions, scientists, startups, consortiums, government organizations, and non-profits that Amazon should partner with in key scientific areas • See around corners, tracking emerging technology trends in academia and industry before they become mainstream; bring forward-looking insights to Amazon leadership • Maintain a living map of the external research ecosystem and internal technology areas relevant to Amazon's Horizons: • Physical Sciences: robotics, hardware/semiconductors, and related domains • Computing Sciences: AI, computing foundations, and related domains • Identify key technology blockers across 90%+ of Amazon's tech teams through structured engagement with Scholars, Research Liaisons, and engineering leaders • Separate signal from noise across a vast

Senior Software Engineer, Operations Research, Google Research Mountain View, CA, USA Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. In this role, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions. Google Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day. Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google

Quantitative UX Researcher, Corporate Engineering Hyderabad, Telangana, India At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products. You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value educational experiences-from Computer Science to Psychology-and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive. As a Quantitative UX Researcher for Spaces UX within Corporate Engineering, you will act as a key partner, blending research and product expertise to quantify the user experience of Google's physical security and workplace experience platforms. You will leverage advanced statistical and data science techniques, including experimentation, to drive data-informed innovation and enhance user experiences, specifically supporting AI-driven innovation across workflows. You will be developing and implementing experimentation frameworks and data analysis on live sandboxes to help the team iterate on AI-powered workflows. You will influence product and engineering directions by driving multiple projects to improve quantitative insights, including instrumentation, measurement definition, metrics tracking, and statistical analysis. At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google's IT organization, we provide

Research Scientist, Quantum Error Correction, Quantum AI Goleta, CA, USA; +1 more As a Quantum Research Scientist, you will develop quantum error correction (QEC) schemes for fault-tolerant quantum computing, specifically focusing on superconducting qubits and high-connectivity platforms. You will develop and analyze QEC for modular architectures, addressing challenges such as entangling links between chips that are slower or more faulty than on-chip gates. Your role involves developing fault-tolerant circuits for logical gates while navigating hardware tradeoffs on connectivity and engineering higher accuracy decoding algorithms for high-connectivity codes, such as Low-Density Parity-Check (LDPC) codes. Beyond the technical design, you will contribute to the wider research community by sharing and publishing your findings. These contributions will be inspired by internal projects as well as through active collaborations with research programs at partner universities and technical institutes globally. 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: $147000 - $211000 (USD) + 15% 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. Important examples include LDPC codes and yoked encoding schemes. Adapt error correction circuits

Senior Product Quantitative Researcher, Cloud Security Seattle, WA, USA; +1 more At Google, we "Focus on the user and all else will follow." As a Quantitative User Experience Researcher (Quant UXR), you make this possible. You will join a multi-disciplinary team, collaborating closely with Engineering and Product Management to create industry-leading, innovative products. You will drive impact at all stages of development by investigating user behavior through empirical methods like logs analysis, survey research, and regression. We value diverse educational experiences-from Computer Science to Psychology-and require a blend of behavioral research design, statistical proficiency, and programming skills to uncover actionable insights. Beyond the work, you will grow within a supportive Quant UXR community offering mentorship, regular meetups, and exclusive internal tools to help you thrive. The Cloud Security Product Analytics team works within the Strategy and Operations group to equip Google Security business leaders with the data and insights they need to confidently make decisions that improve our business and products. In this role, you will leverage your data engineering, data science, and analytical skills to build trusted data sets and executive-level insights tailored to the Cloud Security portfolio. You will analyze product utilization and feature usage to understand customer satisfaction and retention, specifically focusing on how new tools drive engagement. You will manage the ambiguity and complexity of the current data environment while collaborating with Product Managers and UX teams to activate changes. Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade

Acoustic Software QA Engineer, Asia Tech Center Shenzhen, CHN Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create? The Role: As a Acoustic Software QA Engineer, you will work with consumer application testing expertise. You will join the team of hands-on, pro-active, self-motivated and seasoned SQA professionals. In this role, you will: - Create test plans and test cases - Efficiently execute test cases across all functional areas of our products especially have expertise in Audio. - Review product user interface for conformity to design guidelines - Find, isolate, document, regress, and track bugs through resolution - Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process - Work with Software Development Engineers to understand the overall technical architecture and how each feature is implemented - Collaborate with US teams and domestic partners in acoustic lab setting up and management Basic Qualifications: - 4+ years of quality assurance engineering experience - Experience scripting or coding - 4+ years of delivering test frameworks, test tools, leading the QA projects and initiatives experience - Knowledge of QA methodology, automation, industry-standard tools and bug tracking tools - Familiarity with acoustic performance measurement and equipment - Familiarity with acoustic

Sr. Acoustic Software QA Engineer, Asia Tech Center Shenzhen, CHN Amazon Lab126 is an inventive research and development company that designs and engineers high-profile consumer electronics. Lab126 began in 2004 as a subsidiary of Amazon.com, Inc., originally creating the best-selling Kindle family of products. Since then, we have produced groundbreaking devices like Fire tablets, Fire TV and Amazon Echo. What will you help us create? The Role: As a Acoustic Software QA Engineer, you will work with consumer application testing expertise. You will join the team of hands-on, pro-active, self-motivated and seasoned SQA professionals. In this role, you will: - Create test plans and test cases - Efficiently execute test cases across all functional areas of our products especially have expertise in Audio. - Review product user interface for conformity to design guidelines - Find, isolate, document, regress, and track bugs through resolution - Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process - Work with Software Development Engineers to understand the overall technical architecture and how each feature is implemented - Collaborate with US teams and domestic partners in acoustic lab setting up and management Basic Qualifications: - 4+ years of quality assurance engineering experience - Experience scripting or coding - Knowledge of QA methodology, industry-standard tools and bug tracking tools - Familiarity with acoustic performance measurement and equipment - Familiarity with acoustic lab environment setup Preferred Qualifications: - Experience in testing and QA environments - Familiarity with ACQUA

Applied Scientist, Edge AI and Science Cambridge, England, GBR Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost,

Applied Scientist, Materials and Process Development, AWS Center for Quantum Computing Pasadena, California, USA The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire an Applied Scientist on the Materials team, focused on materials integration and process development for superconducting quantum processors. You will join a multi-disciplinary team of theoretical and experimental physicists, materials scientists, and hardware and software engineers working at the forefront of quantum computing. You should have expertise in thin-film deposition, semiconductor integration processes, and materials characterization, with a strong understanding of how device topography and process sequences constrain materials integration choices. Candidates with a track record in materials integration for superconducting or semiconductor devices at wafer scale will be preferred. We are looking for candidates with strong scientific and engineering principles, resourcefulness and a bias for action, superior problem solving, and excellent communication skills. As an Applied Scientist at CQC, you will be expected to drive materials integration R&D from process development through hardware demonstration and stay abreast of advances in superconducting materials and semiconductor manufacturing. Key job responsibilities You will develop and optimize materials for superconducting quantum hardware, with an emphasis on thin-film deposition processes and materials solutions that enable integration architectures for scaling qubit density. This includes establishing process-structure-property relationships for production-relevant films and interfaces, qualifying new tools and process modules, and designing integration schemes compatible with larger wafer formats. You will coordinate with cross-functional teams to translate materials advances into production, and publish results in scientific journals