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Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Analyst, Strategy, Global Markets The Senior Analyst, Strategy will help shape and execute Mastercard’s strategic agenda across Global Markets. As part of the Global Markets Strategy team, this role supports Business Units, Functional Leaders, and Regional Management to identify, assess, and help implement initiatives that strengthen Mastercard’s competitive positioning and drive business impact. The successful candidate will support and, over time, lead discrete workstreams — from problem definition and analysis through to solution design and senior alignment — working across markets and functions to deliver measurable outcomes. The position comes with broad exposure to Mastercard’s strategic and transformational priorities and access to senior leadership discussions across markets worldwide. The role interacts with a wide range of cross-regional and cross-functional stakeholders — including Product, Services, Market Development, Finance, People & Capability, and Sales — up to and including senior leaders. This role reports to the Vice President, Strategy, Global Markets. Role • Support the development and execution of Global Markets’ strategic agenda in alignment with Mastercard’s global priorities • Translate key strategies into execution plans, working with operations and

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Research Analyst - Associate Managing Consultant All About the Role Advisors Research Center is a new capability designed to respond to fast evolving customer needs for high-quality research support, with the important mission of value realization in developing insights and recommendations. This capability augments Advisors traditional areas of strength. Advisors research center is a global research-oriented competency that applies proven, accredited research and domain experience to partner with any client worldwide to help them drive measurable value by Delivering new research products and strategies to market smoothly and efficiently Successfully leveraging research assets and delivering the most challenging research output that’s impactful for clients Ability to provide key insights based on primary research (qualitative and/or quantitative) is essential Ability to also analyse secondary research and/or large data sets would be an advantage All About You Worked on a variety of research projects (both primary and secondary research). Experience of working on projects involving primary research (quantitative techniques including surveys and qualitative research including in-depth interviews, focus groups, online forums etc.) Able t

We anticipate the application window for this opening will close on - 22 Oct 2026 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 are seeking a committed professional to join our team. While this is a remote position not located at a physical Medtronic site, the candidate hired will be required to reside within the territory and drive to multiple accounts throughout the region. A valid driver's license is essential for this role. As one of three comprehensive portfolios at Medtronic, Neuroscience is dedicated to improving the lives of people living with neurological disorders, spine conditions, and chronic pain. Guided by our Mission—to alleviate pain, restore health, and extend life—we develop technologies and therapies that help people regain function, reduce pain, and return to the activities that matter most. Our Pelvic Health Operating Unit advances care for patients living with bladder and bowel control conditions through targeted, minimally invasive neuromodulation therapies, including sacral and tibial solutions. Designed to modulate nerve pathways and restore communication between the brain and pelvic floor, these programmable therapies deliver personalized treatment supported by strong clinical evidence and long-term outcomes—helping improve confidence, independence, and quality of life. Check us out on LinkedIn: <a href="https://www.l

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to seek, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today. What you’ll be doing: Working closely with product design engineers, you'll perform PCB layout of high speed/high-density value-conscious PCBs for all business units at NVIDIA (GPU Desktop, Notebook, Automotive, Professional, Data Center, Deep Learning, and AI), all using Cadence PCB design tools. Focus will be on the complete development of CAD layout from symbol creation, floor planning, and detailed component placement, constraints management, with a concept of topology and signal/trace integrity. You will be responsible for the design releases required generation of artwork files, ODB&#43;&#43;, and electronic PCB documentation. Your designs will need to follow SI constraints, EMI/RFI control and FCC, UL and European regulations, IPC specifications and NRC regulations. What we need to see: B.Sc. in Electronic Engineer degree or equivalent experience. 5&#43; years of experience in high-speed design. Having a detailed knowledge of circuit design and consideration for layout, routing, and timing constraints, DFM, DFA, DFT constraints in volume manufacturing is needed for this role. Be an authority in using Cadence Allegro PCB design tools. Have a deep understanding of High-Density Interconnect PCB layout and PCB Signal Integrity. Knowledge in PCB ma

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company”. We're looking for a Senior Performance Compiler Engineer to join our team and work on the open-source Triton compiler project. This opportunity involves working with new technologies and using compilers to improve AI performance on NVIDIA GPUs. Your work will enable breakthroughs in large language models, agents, and other high-impact AI applications, accelerating both training and inference. You will be immersed in a diverse, supportive environment where everyone is inspired to do their best work, pushing the limits of what's possible. What you’ll be doing: Investigating the latest and future NVIDIA GPU hardware architecture and programming models. Working on the frontier of AI by understanding advanced algorithms (like attention sinks and MoEs) and numerics (like block-scaled floating point) to identify new opportunities for optimization. Designing and implementing compiler technology using MLIR to optimize high-level kernel descriptions (written in Triton's Python DSL), with a focus on generating efficient, low-level GPU code. When vital, you'll also be able to use inline PTX to hand-tune critical code paths and extract peak performance from the hardware. Engaging in a dynamic, iterative process of optimization—sometimes starting with the kernel, sometimes with the compiler—to find the most efficient path to peak performance. Collaborating with teams across NVIDIA, including hardware architects and the CUDA compiler team, t

We’re hiring a Senior Solutions Architect to drive technical engagement with NVIDIA partners, OEMs, and customers across NVIDIA AI Factory solutions, focusing on on-premises enterprise solutions. In this role, you’ll connect real-world customer workloads to NVIDIA’s hardware and software ecosystem, helping developers and enterprises adopt and scale our platforms. We’re looking for someone with strong technical depth who can serve as a trusted advisor, bridge complex challenges to innovative solutions, and grow into a strategic resource for the customers and partners you support. If you’re excited about applied technology and enabling others to succeed with advanced platforms, we’d love to hear from you! What you’ll be doing: Serve as a trusted advisor who understands complex or large-scale customer workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes. Co-design advanced, scalable architectures with NVIDIA integration partners, select OEMs, and key end customers, defining technical direction, integration milestones, and deployment plans. Engage hands-on with deep technical topics—designing, validating, and supporting solutions that enable customer success. Identify gaps between customer and partner needs and NVIDIA offerings, communicating insights that shape internal product and engineering priorities. Lead technical engagements, helping customers troubleshoot, resolve complex issues, and advocate for their technical needs. Drive technical enablement and platform adoption, helping developers and enterprises integrate NVIDIA SDKs, frameworks, and systems. Partner cross-functionally with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions. Become an authority who builds and shares knowledge and infrastructure insights for NVIDIA platforms. Act as a resource to help tailor on-premises so

NVIDIA is seeking a senior systems software engineer to help engineering teams run demanding build, simulation, and validation workloads efficiently and reliably. Our Workload Systems Engineering team connects customer workflows with the infrastructure that performs them. We develop self-service mechanisms and clear diagnostics, investigate performance and reliability across system boundaries, and deliver measured infrastructure improvements with the teams that own the underlying components. Your responsibilities include enabling application configuration, remote execution, workers, hosts, GPU and CPU resources, storage, data paths, and on-target systems. The position requires direct system evaluation: diagnosing causes of slow or failing workloads, trying alternatives in representative scenarios, applying improvements with others, and verifying customer advantages. What you'll be doing: Build shared self-service and validation mechanisms that let engineering teams configure and use supported infrastructure workflows with less manual assistance. Give customers and on-call teams useful diagnostic views across application, submission, remote-execution, and host or target layers so they can identify where failures and slowdowns originate. Set performance and reliability benchmarks for representative workloads. Apply profiling, metrics, traces, and controlled experiments to pinpoint the changes that make a difference. Evaluate and improve compute and GPU selection, scheduling and placement, concurrency, worker and runner configuration, resource sharing, caching, and input/output paths. Make retry causes, recovery outcomes, and wasted execution capacity visible. Work with component owners to eliminate recurring failures and unnecessary re-execution. Implement and validate infrastructure-level changes with application, build and CI, remote-execution, and infrastructure teams. Measure

Join us at the forefront of AI compiler technology and help shape the future of accelerated computing. NVIDIA is seeking passionate engineers to build the next generation of tools used by AI developers and researchers worldwide. Our team is developing Thunder , an ambitious, source-to-source compiler built to unlock outstanding performance for PyTorch models on NVIDIA GPUs. This is a unique opportunity to contribute to a project that enhances the PyTorch ecosystem, working with modern compiler stacks like PyTorch 2.0's TorchDynamo and TorchInductor to create powerful, open-source solutions that benefit the entire community. If you are driven to solve complex problems and want to make a foundational impact on the AI ecosystem, apply to join our collaborative and innovative team. What you'll be doing: As a key member of our team, you will be contributing directly to the future of accelerated AI. Your role will be dynamic and deeply technical, placing you at the center of compiler innovation. You will lead the design, implementation, optimization, and maintenance of the core compiler technologies that accelerate massive deep learning workloads. This is a highly collaborative role where you'll work alongside the very engineers who built PyTorch for NVIDIA hardware, helping to pioneer new features and stay at the forefront of framework development. You'll dive deep into performance analysis, scrutinizing workloads running on thousands of GPUs to find optimization opportunities that will shape the future design of Thunder. Furthermore, you will be part of a vibrant ecosystem, working closely with leading compiler, library, and systems teams—including experts behind nvFuser, TVM, XLA, and CUDA—to translate the latest research into practical, high-impact solutions for the open-source community. What we need to see: We are look

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a Senior GPU Networking Architect to join our networking software group, bringing strong GPU architecture and programming skills to build and improve GPU communication kernels. This role links GPU computing with networking by making sure communication primitives are carefully developed alongside GPU hardware capabilities. Join our team of engineers developing the software foundation for the largest AI systems globally. What you will be doing: Build, implement, and optimize GPU communication kernels that underpin collective and point-to-point operations in large-scale AI systems. Leverage deep knowledge of GPU architecture—thread scheduling, memory hierarchy, execution pipelines—to improve kernel efficiency, minimize latency, and overlap computation with communication. Develop GPU-resident communication primitives and device-side APIs that enable fine-grained, kernel-initiated data movement across nodes and accelerators. Profile and tune GPU kernels end-to-end, identifying bottlenecks at the intersection of compute, memory, and network, and driving targeted optimizations. Collaborate with network software, hardware, and AI framework teams to co-design commun

NVIDIA is well positioned as the 'AI Computing Company', our GPUs being the brains that power modern Deep Learning software frameworks, accelerated analytics, modern data centers, and driving autonomous vehicles. We are looking for a Senior AI Infrastructure Test Development Engineer to join in the mission of crafting a distributed technology for all NVIDIA teams that remotely manage 10s of 1000s of resources in a simple and controlled fashion, allowing engineers to focus on engineering and automation, rather than being burdened by manual operational tasks. The AI infra test developer engineers at NVIDIA are responsible for creating test plans, execution, and reporting, as well as developing scripts for test automation, designing and developing tools for the QA team, and developing integration tests for validation. As a test developer, you must identify weak spots and constantly design better and more creative test plans to break software and identify potential issues. You will have a huge impact on the quality of NVIDIA's products. The ideal candidate must have strong programming skills and hands-on experience using AI development tools to improve quality and productivity across the end-to-end QA workflow. This includes leveraging AI assistants for test automation, code generation, debugging, and enhancing testing efficiency. During the interview process, we will assess your ability to effectively use AI development tools and evaluate your programming capabilities to ensure you can deliver high-quality solutions. What you’ll be doing: Architect, implement, and evolve scalable agentic end to end SWQA workflow, automated test frameworks, infrastructure, and tooling for complex software products. Define test strategy and quality gates across functional, integration, regression, reliability, and release-validation workflows. Build and maintain high-value automated coverage for Linux-

NVIDIA seeks an exceptional Network Engineer to join the Vertical Verification Group. As a senior engineer, you will contribute to the Vertical Verification work, concentrating on validating and improving complex Ethernet and InfiniBand systems within NVIDIA’s Data Center and HPC environments. You will play a key role in testing advanced networking features, building complex customer-like topologies, and ensuring NVIDIA products meet industry-leading benchmarks of performance, efficiency, and quality. You will collaborate closely with architects, software engineers, and hardware teams across NIC, HCA, switches, CPUs, and GPUs in a fast-paced and highly technical environment. This is an outstanding opportunity to join a highly skilled team and contribute significantly to groundbreaking technology! What you’ll be doing: Review architecture, build, and requirements for new networking features across Ethernet and InfiniBand portfolios Compose and build complex testbed topologies that emulate customer environments Implement, run and optimize integration test plans including functional, regression, and performance testing Identify, reproduce, and debug issues; work closely with R&D to drive root cause analysis and resolution Collaborate with automation teams Analyze and optimize network performance, latency, and efficiency Provide clear status updates, reports, and insights on system quality and performance What we need to see: B.Sc. in Computer Science, Electrical Engineering, or related field (or equivalent experience) 8&#43; years of experience in networking, system validation, or related engineering roles Strong hands-on experience with Linux-based systems Deep understanding of networking protocols (TCP/IP, UDP, Ethernet, VLANs, L2/L3) Experience with routing, switching, and modern data center network architectures<

Work Flexibility: Remote This role will lead a global team of category management professionals and subject matter experts, with responsibility for multiple areas of direct and indirect spend within the global Sterilisation portfolio . Reporting to the VP, Procurement Global Category Management, this position will develop and execute category strategies that strengthen supply chain resiliency, deliver cost reductions and year-over-year productivity improvements, and maintain or improve product quality and supplier service levels. The role will partner with key stakeholders across the organization to develop and implement effective sourcing, supplier management, cost reduction, innovation, and risk mitigation strategies. What you will do: Provide leadership for global category strategy activities for Sterilization , with responsibility for a significant portion of global category spend. Lead category strategy development and execution while building organizational capability through talent development, succession planning, and strategic hiring. Partner across Divisional Procurement, Global Sterilization Services, Supplier Quality, Engineering, Advanced Operations, Materials Management, Operations, Finance, Legal, Compliance, R&D, Business Development, and Senior Leadership to deliver the best quality, service, value, and supply continuity. Lead the development and execution of enterprise-wide category strategies aligned with overall business objectives. Drive year-over-year productivity improvements and cost savings while maintaining or enhancing quality, compliance, service, and supply continuity. Develop and execute Global Category Plans encompassing cost reduction, new product development, supply base optimisation and rationalisation, quality improvement, risk management, and strategic sourcing. Le

Our Purpose Mastercard powers economies and empowers people in 200&#43; countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Specialist, Product Strategy & Commercialization Who is Mastercard? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Overview The Arcus Commercialization team in Mexico City is looking for a Sr. Specialist to support the commercialization and ongoing management of Arcus solutions. The role willl combine product go-to-market strategy, business analytics, cross-functional execution, and business operations. The ideal candidate is analytical, proactive, customer-oriented with strong communication and problem-solving skills. Role In this position, you will: • Support and develop product value propositions, pricing and go-to-market strategies, leveraging customer, market, com

Pfizer Singapore is recruiting permanent employees for manufacturing site expansion of Pfizer Asia Manufacturing Pte Ltd (PAMPL) in Singapore POSITION SUMMARY Will be responsible for leading and driving Fire Safety & Emergency Management, Business Continuity Management and Security Management Systems to ensure compliance of all applicable laws and regulations, codes of practices and Pfizer EHS & Security Standards and provide technical guidance to support API plant operations not limited to essential programs such as risk assessment, job safety analysis, contractor safety, working at height, permit-to-work, lockout & tag out, electrical safety, confined space entry, fire safety, loss prevention, emergency preparedness, business continuity planning and physical security. Accountable for Drive Leader Standard Work to ensure compliance with all applicable local laws and regulations. Drive Internal audit to ensure compliance with applicable laws and regulations, Pfizer Global EHS & Security standards and recommended practices. Lead Site Emergency Preparedness and setup Company Shift Emergency Response Teams to respond Site emergency (e.g. fire, gas leak, large spillage, medical emergency) and mitigate the impacts of incident to minimize production downtime. Drive Operational Readiness of Security & Loss Prevention Management System and Programs and develop Business Continuity Management System. POSITION RESPONSIBILITIES Organize and train Shift Site Incident Commanders & Shift Emergency Response Teams (SERTs) and contract security personnel, and conduct performance management review with his/her direct reports (e.g. Contract Shift Security Officers). Ensure business activities are in compliance with all applicable WSH regulation, local fire safety, loss prevention and security laws & regulations, and Pfizer EHS and Global S

We are now looking for a Senior ASIC Design Engineer. NVIDIA is seeking ASIC Design Engineers to implement the world’s leading SoC's and GPU's. This position offers the opportunity to have real impact in a multifaceted, technology-focused company impacting product lines ranging from consumer graphics to self-driving cars and the growing field of artificial intelligence. We have crafted a team of outstanding people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform for the future of computing! What you'll be doing: As a key member of the GPU Design team, you will implement, document and deliver high performance, area and power efficient RTL to achieve design targets and specifications. Analyze architectural trade-offs based on features, performance requirements and system limitations. Craft micro-architecture, implement in RTL, and deliver a fully verified, synthesis/timing clean design. Collaborate and coordinate with architects, other designers, pre- and post-silicon verification teams, synthesis, timing and back-end teams to accomplish your tasks. Work on a broad list of IPs such as GPU's work scheduler, time distribution system, interrupt controllers, and DMA engines. Architect features to help silicon debug and support post-silicon validation activities. What we need to see: Bachelors Degree or equivalent experience in Electrical Engineering, Computer Engineering or Computer Science. 8&#43; years of meaningful work experience. Experience in micro-architecture and RTL development (Verilog), focused on arbiters, scheduling, synchronization & bus protocols, interconnect networks and/or caches. Great understanding of ASIC design flow including RTL design, verification, logic synthesis and timing analysis. Exposure to Digita