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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 122,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: About Abbott Abbott’s Diagnostics family of businesses, bringing together exceptional teams of experts and industry leading technologies. In this role, you will provide personalized Face-2-Face® training to Acelis Connected Health’s home testing customers on obtaining a finger stick blood sample, operating the PT/INR products and reporting responsibilities. The position of trainer is per-diem and state/city specific. This job description will be reviewed periodically and is subject to change by management. RESPONSIBILITIES: The Trainer will: Remotely set up training appointment directly with the customer/caregiver Travel to the customers home setting within the general geographic location of the Trainer's home Demonstrate and instruct the customer and/or their caregiver on the proper use and care of the PT/INR equipment. Explain test reporting options Communicate and present themselves in a professional manner Accurately document and submit patient training records electronically Maintain communications with Acelis Connected Health by cell phone, email and internet access Utilize secure encrypted email to communicate anything that includes customers PHI Have reliable transportation </u

Job Details: Job Description: Are you passionate about software engineering, performance optimization, and developer tools? Join Intel as a Development Tools Software Engineering Graduate Intern and help build the next generation of technologies that empower developers worldwide. In this role, you will work alongside experienced software engineers, architects, and product teams to develop and enhance cutting-edge software tools used across Intel's engineering ecosystem. You'll gain hands-on experience in toolchain integration, performance analysis, GPU optimization, and feature development while contributing to real projects that impact products used around the globe. This internship offers a unique opportunity to strengthen your technical skills, learn from industry experts, and accelerate your career in software engineering. About the Team The Data Center Group (DCG) is driving innovation across cloud, enterprise, and data center computing. Our teams develop high-performance technologies that power critical workloads, enable digital transformation, and accelerate technological advancement worldwide. As part of DCG, you'll have the opportunity to work on meaningful projects at the intersection of software, hardware, AI, and high-performance computing. What You'll Do As a Development Tools Software Engineering Graduate Intern, you will: Contribute to the development and optimization of software engineering tools, including analyzers, compilers, debuggers, and performance profiling solutions. Collaborate closely with software engineers, architects, and product teams to align tool capabilities with evolving platform and business requirements. Learn and apply GPU optimization techniques through practical projects and real-world case studies. Su

We are now looking for a Senior CPU Performance Developer Technology Engineer. NVIDIA is seeking an outstanding computer scientist to join its Compute Developer Technology (Devtech) team. This role focuses on research and development techniques to optimize key Cloud and HPC CPU workloads on NVIDIA’s CPU. This includes performing in-depth analysis and optimization to ensure the best possible performance on the current and future generations of NVIDIA CPU. What you will be doing: Engage directly with the developer community and experts in their field to understand and address the problems they are solving today and tomorrow. Guide key framework and application developers, contribute directly to their software stack, libraries or develop reference code. Join efforts with diverse groups at NVIDIA such as architecture, research, libraries, tools, system software, and product management teams to constantly improve our products. Influence the design of NVIDIA next-generation architectures and software stack by investigating the impact on application performance and developer efficiency. What we need to see: A BS, MS, or PhD degree in computer science or equivalent experience, and 8&#43; years of relevant experience. Strong knowledge of C/C&#43;&#43; and/or Fortran with solid understanding in software design, programming techniques, and algorithms. Hands-on experience with benchmarking and optimizing enterprise and cloud workloads. Good communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High-Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundar

The Hall & Kay way… it’s a people thing. At Hall & Kay, we deliver complex fire protection and security solutions to protect what matters most to our clients. As technical experts our focus is on the lifetime value of a project. Meaning we can design, supply, install, test and maintain all types of sprinkler, gas suppression, fire detection, and integrated security systems. With 140&#43; year trading experience and a strong project delivery culture, we are proud to have built lasting relationships with some of the UK’s most respected companies in all areas of industry and construction. Summary of Role You will be responsible for managing and coordinating quotation processes for remedial, repair, and maintenance works within the service business. This role serves as the primary point of contact between suppliers and clients for obtaining accurate pricing and specifications for corrective remedial works. What you will be doing Process requests for quotations (RFQs) for remedial works, repairs, and maintenance across building portfolios. Coordinate with approved suppliers and service providers to obtain competitive quotes. Review and analyse quotes for accuracy, completeness, and compliance with specifications. Ensure quotes include appropriate scope of works, materials, labour costs, and timelines. Review building defect reports, condition assessments, and maintenance logs to determine required works. Interpret technical specifications and translate them into clear scope requirements for customers. Verify that quoted works align with id

JOB DESCRIPTION: We currently have an exciting opportunity for a Senior Clinical Data Management Analyst to join our Data Management team. The role comprises of providing clinical data management expertise for the Clinical Affairs and R&D departments across Abbott's Diabetes Care product range. We are keen to hear from candidates looking for an opportunity to make an impact at work and contribute to patient health for the next generation of glucose monitoring technology. The Opportunity In this role, you would be joining a vibrant, friendly and inclusive group of Data Managers, EDC programmers and Statistical Programmers, where you can expect to work across a varied range of clinical trials and R&D projects. Key activities as a Senior Clinical Data Management Analyst include: Lead and direct data management activities in support of Clinical Affairs and R&D. Develop and maintain data management processes, procedures, and best practices. Support clinical studies, including CRF design/review, database build and validation, creation of data management documents. Participate in clinical study teams and liaise with other departmental groups to establish priorities and communicate schedules. Essential Skills and Experience You will have a BSc (or higher) in a scientific or technical discipline. Previous experience working in a regulated clinical data management environment is advantageous. We will expect you to be able to successfully contribute to and manage a small number of projects, and work with colleagues from a range of backgrounds to implement data management processes. Additionally, you’ll need to be adaptable, have a keen eye for detail, excellent written and verbal communication abilities, strong collaboration and team-working skills.</p

Careers that change lives start here. Medtronic is a global leader in healthcare technology with a Mission to alleviate pain, restore health, and extend life. Our 95,000 employees work across more than 150 countries to put patients first — developing innovative medical technologies that improve the lives of 72&#43; million patients each year. Your unique talents will help shape the future of healthcare while building a career grounded in purpose, growth, and impact. A Day in the Life We’re a mission-driven leader in medical technology and solutions with a legacy of integrity and innovation. Work with us to incentivize better patient care and partner across the industry to make healthcare more affordable and accessible. Be a part of a community of experts committed to ensuring quality, affordable healthcare worldwide. The Clinical Research function supports the generation, management, and execution of clinical evidence across the Latin America region. This team partners with investigators, research institutions, regulatory stakeholders, and internal cross-functional teams to support clinical studies, investigator-sponsored research activities, and clinical supply operations. The role also contributes to study execution through investigational product management, clinical systems administration, and SAP-based supply processes. This position is based in Bogotá, Colombia. The role follows a Flex work model and supports regional clinical research activities across Latin America. Travel is not expected as part of this role. Responsibilities may include the following and other duties may be assigned: Support oversight and execution of investigator-sponsored research and clinical study activities across the Latin America region Coordinate operational aspects of clinical studies in compliance with Standard Operating Procedures (SOPs), Good Clinical Practice (GCP), and applicable country regulation

NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. As a Software Engineer in the GPU Networking Architecture team, you’ll lead advanced development and POC efforts for AI infrastructure solutions. You'll be collaborating with experts across distributed AI, deep learning, networking OS, virtualization, storage, and more. Come and join us for the cutting edge in GPU Networking! What you’ll be doing: Drive advanced development and POCs for AI infrastructure solutions in cutting-edge AI networks, integrating innovative software and hardware. Demonstrate team architectural concepts with larger NVIDIA AI software stacks. Work closely with various groups within NVIDIA to bring AI network technologies to reality, including GPU and Switch HW and SW teams, Product as well as fellow architects. What we need to see: A current student pursuing a B.Sc./M.Sc./PhD in Computer Science, Electrical Engineering, or Computer Engineering Proficient in C/C&#43;&#43; over Linux OS Development Skilled with gen-AI coding tools A teammate with a can-do attitude, high energy and excellent interpersonal skills. Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment. Stellar communication skills Please share your availability as part of your application. Ways to stand out from the crowd: Experienced in virtualization, networking Experience in development of Linux drives and networking stack Knowledge in AI communication libraries (NCCL, UCX, MPI and equivalents) Experience in Kubernetes NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world work

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Indiana and Kentucky to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our technical and operational plans into clear local benefits, and build the coalitions that allow us to move quickly and responsibly. Because Anthropic's infrastructure footprint is still early in its growth, you will also help write the playbook: the processes you build in your first markets are the ones we will use as we expand. You will travel regularly within Indiana and Kentucky, up to 50% of the time, and occasionally to other Anthropic data center markets. Key responsibilities Build and maintain trusted, sustained relationships

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role Anthropic manages one of the largest and fastest-growing infrastructure fleets in the industry — spanning multiple accelerator families, cpu families and clouds. The Capacity Engineering team is responsible for making sure all our infrastructure resources are accounted for, well-utilized, and efficiently allocated. We own the data, tooling, and operational systems that let Anthropic plan, measure, and maximize utilization across first-party and third-party compute. As an engineer on Capacity Engineering, you will build the production systems that power this work: data pipelines that ingest and normalize telemetry from heterogeneous cloud environments, observability tooling that gives the org real-time visibility into fleet health, and performance instrumentation that measures how efficiently every major workload uses the hardware it’s running on. You will be expected to write production-quality code every day, operate alongside Kubernetes-native infrastructure at meaningful scale, and directly influence decisions around one of Anthropic’s largest areas of spend. You’ll collaborate closely with research engineering, infrastructure, inference, and finance teams. The work requires someone who can move between data engineering, systems engineering, and observability with comfort — and who thrives in a high-autonomy, high-ambiguity environment. This is a pipeline role feeding four areas. Depending on your background and business priority, you’ll focus primarily in one, but the boundaries are fluid and the problems overlap: Data platform Pipelines that ingest occupancy and utilization telemetry from Kubernetes clusters, norma

About Pleo Messy spend management is tricky business. And tedious processes are a lose-lose situation for all involved, not just finance. At Pleo, we're changing that. We build spend solutions that make managing money seamless, empowering, and surprisingly effective for finance teams and employees alike - with a vision to help all businesses ‘go beyond’. The word ‘Pleo’ actually means ‘more than you’d expect’, and living by that mantra has been the secret to our success over the last 10 years. Now, we’re at a pivotal moment in our journey; every move we make has a direct impact on our 40,000+ customers, our business, and our collective success. We need people who take pride in uncovering customer needs, who turn complex problems into simple solutions, challenge the way things are done (respectfully), and always aim high. With great ambitions driving us forward, we can’t say we’ve got this whole thing figured out. And frankly, that’s half the fun! What we can say is that we’re a driven, progressive, and, importantly, a kind bunch of 850+ people from over 100 nationalities, all committed to delivering the future of business spending, together. About the role In this role, you will play a central part in assessing, questioning, and enhancing how customers experience Pleo. Drawing on deep regulatory knowledge, you will lead Consumer Duty initiatives, actively spot potential customer harm, examine what drives customer journeys, and ensure targeted remediation creates lasting, positive impact. You'll need sharp analytical skills and the confidence to influence stakeholders, translating data and MI into decisive action. You will construct and manage dashboards and reporting mechanisms that illuminate emerging patterns, vulnerable customer risks, and key concerns, offering executive leadership clear visibility into operational gaps and necessary solutions. Your contribution goes well beyond producing MI. You will conduct QA across complex complaint handling and sensitive cu

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role In this role, you'll lead a team of Account Executives driving the adoption of safe, frontier AI with top enterprises across Japan. This role is critical to Anthropic's Japan expansion. You'll leverage your leadership expertise to propel revenue growth while developing a high-performing team. Working closely with Applied AI Engineering, Product, GTM, and Marketing teams, you'll help enterprise customers deploy AI solutions and refine our market positioning for Japan. The ideal candidate will have a deep understanding of Japanese business culture, a passion for developing people, and the ability to navigate Japan's consensus-driven sales environment. Responsibilities: Build and lead a high-performing team of Account Executives, providing coaching, mentorship, and guidance to drive team success Develop and implement sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed team revenue quotas Create and maintain accurate forecasts, pipeline management, and reporting while ensuring data integrity in CRM systems Partner with Enablement to develop training programs and resources that accelerate AE ramp time and effectiveness, with focus on Japanese enterprise buying cycles and decision-making processes Work closely with Applied AI Engineering teams to demonstrate technical capabilities pre-sales and optimize solutions post-sales Enable your team to have credible technical conversations about AI applications while maintaining appropriate guardrails Build strong partnerships across the organization to drive strategic initiatives Identify and execute on new market opportunities and us

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As an Integrity and Authenticity Policy Manager, you will be responsible for developing, refining, and maintaining policies that prevent the misuse of AI systems for deception, manipulation, and unauthorized monitoring at scale. You will serve as the policy owner for risks related to inauthentic behavior, influence activity, surveillance, and the profiling of individuals and groups, and you will help shape policy frameworks across several areas, including authenticity, information integrity, and privacy and surveillance. Your initial focus will be on translating the Integrity and Authenticity risk framework into clear, enforceable policies, ensuring policy language addresses emerging threats identified by partner teams, and establishing guidelines that enable consistent enforcement decisions. Many of the most serious harms in this space begin with upstream steps that look routine on their own, such as compiling records about a person, automating account creation, or sorting users by inferred identity. Part of your work will be defining where those steps become prohibited. The role will expand as AI capabilities advance. Safety is core to our mission. You will help ensure our products cannot be used to deceive people at scale, monitor and profile people without their knowledge or consent, or sort and target populations based on sensitive characteristics. Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature, as well as detailed descriptions of privacy violations, survei

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Join Anthropic's Customer Success team in a high-visibility & high-impact role driving AI adoption across a small number of enterprise accounts in our Enterprise Tech segment. As our dedicated Customer Success Manager for Enterprise Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas. You'll work with a book of global technology leaders to actively deploy AI and reshape the technology landscape. You’ll be working with key partners who are moving fast and pushing the boundaries of what's possible with LLM technology. Your role will entail developing genuine partnerships with the customer and key stakeholders, gaining a deep understanding of their multi-pronged business objectives, strategic direction, AI vision, and technical needs. You'll draw on both your business acumen and technical expertise to serve as a strategic advisor throughout their journey with us. In partnership with the broader account team, you will help customers identify the right Claude capabilities for their specific business objectives, working closely with them to provide best practices and guidance while supporting them as their usage grows and evolves. Your role focuses on helping customers scale their usage effectively, drive model and use case optimizations, implement change management strategies, and maximize the value of their investment through expanded use cases across their organization. The insights you gather from your customers will directly inform our research priorities, product development, and go-to-ma

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About The Anthropic Institute The Anthropic Institute (TAI) is a function within Anthropic that works to advance the public conversation around AI. The Institute is comprised of research teams tackling some of AI's most consequential societal challenges: the Frontier Red Team, which stress tests our systems against catastrophic risks; Societal Impacts, which studies how Claude is used by millions of people; Economic Research, which tracks AI's impact on people's jobs and the larger economy; the Rule of Law team, which studies AI's impacts to democracy; and more. The Institute's mission is to reduce information asymmetries between Anthropic and the outside world, name and answer the hard questions implied by powerful AI systems, and publish these findings so that policymakers, researchers, technology leaders, and the public can reckon with what's here and what's to come. About the role The role. You will build and lead the Institute’s tabletop exercise program and the team that runs it. Based on trends visible in the exponential and in consultation with technical experts, you will set the research agenda: which questions the exercises should answer, which scenarios to run, with which audiences, and what each run is meant to test. You will own the methods that make results comparable across runs and turn them into findings people outside the room can use. You will hire and manage a team plus a bench of facilitators, and you will be the program’s public voice. Why tabletop exercises? If RSI arrives, the hardest problems will be about making decisions under uncertainty. The people making them may not trust each other, and the author