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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 Software Engineer 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 We are seeking an experienced Senior Software Engineer with strong expertise in Golang, cloud-native application development, and AWS-based solutions to support Mastercard's Cloud Connect initiatives. The role will focus on building secure, scalable connectivity platforms that enable customers to connect to Mastercard services from public cloud environments and private networks through modern cloud-native architectures. Role • Design, develop, and maintain secure, scalable, and resilient cloud-native applications and services using Golang and AWS technologies to support Mastercard's Cloud

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 Platform Engineer Overview: The Middleware team is responsible for ensuring the stability, availability, and performance of critical payment and enterprise platforms. This role provides operational support across middleware technologies and business-critical services, contributing to platform reliability, incident resolution, change implementation, and continuous service improvement Role: Provide primary support for Middleware Production Platform Administration (PPA) activities. Participate in an on-call support rota, including weekday and weekend coverage. Support and implement live production changes in accordance with established change management processes. Partner with the Operations and Platform Administration (OPA) team to deliver BAU operational activities. Monitor, troubleshoot, and resolve production incidents to ensure service availability and performance. Support critical payment and integration platforms, ensuring operational excellence and adherence to SLA commitments. Contribute to operational documentation, knowledge sharing, and process improvement initiatives. All About You: Experience supporting enterprise middleware and production platforms in a mission-critical environment. Knowledge of Oracle WebLogic Server administration and support. F

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 Data Engineer Data Engineer, D&A 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 Data & Analytics team is part of MasterCard Services group and one of the most rapidly growing organization in the space. This team provides analytic software tools that enable large, consumer-focused businesses to seize the Big Data analytics opportunity by triangulating between business strategy, algorithmic math, and large databases to improve decisions. Role The Data Engineer will participate on data management aspects of product engagements to deliver solutions, as well as contribute to and foster a high performance

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 Software Engineer About 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 our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Mastercard Services Access program provides access to a wide range of Mastercard’s value-added services to customers such as Issuers, Processors, or Payment Entities ranging. We help our customers to optimize revenue and control risk across all portfolios and brands. About the Role: =================================== -Design, develop, and maintain Java-based backend services using Spring Boot, Spring Integration, gRPC, and distributed system patterns. -Translate business requirements and user stories into secure, efficient, and reusable software solutions. -Contribute to technical des

Job Description Discover your future at Citi Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you’ll have the opportunity to grow your career, give back to your community and make a real impact. Job Overview Engineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Citi's Equities Technology organization is seeking a Software Engineer to join the Equities Electronic- Execution (Electronic Trading) technology team. The person in this role will be responsible for the design, development, and delivery of Citi's next-generation low-latency execution platform. This platform encompasses c

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. Widely considered to be one of the technology world’s most desirable employers, NVIDIA is an industry leader with groundbreaking developments in High-Performance Computing, Artificial Intelligence and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA’s Hardware Infrastructure organization develops, deploys, and runs engineering infrastructure on large-scale, distributed cloud computing systems with 1000s of heterogeneous servers and petabytes of high-performance shared storage. We are looking for a highly motivated senior software development engineer to develop and deploy software storage management systems for NVIDIA's worldwide design engineering teams. Collaborate with internal customers and partners, working with technical teams to build and implement efficient software storage systems that improve engineering efficiency and benefit NVIDIA's business. What you'll be doing: Collaborate with HW and SW engineering teams to define new features for distributed software storage systems. Craft and develop scalable, distributed, storage management system solutions written in Perl and Python Work closely with team members and internal customers to optimize workflow efficiency and scalability. Drive improvements to SW design and test processes to improve velocity and deliver very high production quality. Directly contribute to the overall quality of and improve time t

NVIDIA's Automotive Offensive Security team believes the best defense is a good offense. Securing a sophisticated automotive operating system means finding vulnerabilities then building the tooling needed to find them at scale. We're looking for a senior engineer who can break low-level systems and then automate the insights gained from doing so into reusable security capabilities. What you'll be doing: You'll discover and evaluate vulnerabilities on both source code and binaries, focusing on low-level technologies such as OS kernels, Hypervisor, boot ROMs, firmware, and hardware. More than just bug finding, you'll develop and build automation to scale your work. This includes security pipelines, fuzzing infrastructure, AI-assisted vulnerability discovery, tools for automated code inspection, and code conversion. You'll work closely with security researchers and engineers, owning tool development - from prototype to production - for use across the software organization What we need to see : 7+ years of hands on programming experience, particularly with C/C++. Python and memory safe language (e.g. Rust, Ada/SPARK) proficiency a plus. B.S. or equivalent experience in Computer Science or a related field. Strong low-level systems security background: OS internals, kernels, hypervisors, firmware, or hardware; applying an analytical approach dissecting the functionality of intricate software and identifying security flaws. Experience with embe

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 challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the Graphics Product Team. In this role, you will be working with a team of HW/SW engineers to develop NVIDIA GPU/CPU/SoC based products for GPU cards, Datacenters, automotive, robotics, industrial PC, consumer electronics, etc. 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 challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. We are now looking for a System Design Engineer in the Graphics Product Team. In this role, you will be working with a team of HW/SW engineers to develop NVIDIA GPU/CPU/SoC based products for GPU cards, Datacenters, automotive, robotics, industrial PC, consumer electronics, etc. What You'll be Doing: Build system hardware products around GPU, CPU & Tegra SoC. Collaborate with cross-functional team to pursue the balance of product cost, performance, and schedule under the guidance of system architects and product architects. Drive initial bringup and test, lead the debug efforts.

We are looking for a Sr. ASIC Design Engineer! NVIDIA is seeking best-in-class ASIC Design Engineers to design and 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 developed an outstanding team 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: You will document, implement, and deliver fully verified, high performance, area and power efficient RTL to achieve the design targets and specifications. Your responsibilities will include architecture and micro-architecture design, RTL design and synthesis, and logic and timing verification using pioneering CAD tools and semiconductor process technologies. In addition to the design role, you will participate in the verification of the design using sophisticated verification methodologies. You are expected to help define the verification scope and support the development of verification infrastructure. You will collaborate with several ASIC development teams and will need to communicate and coordinate with members of those teams, some of whom are in remote locations. What we need to see: A Bachelors or Masters Degree (or equivalent experience) 5+ years of relevant / meaningful work experience Proven hardware engineering background with a concentration in VLSI and Computer Architecture Expertise in Verilog, System Verilog or similar HDL. Proficient programming in Perl/Python

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 solve, that only we can tackle, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice to join us today. We are now looking for a Senior High-Speed IO (HSIO) Validation Engineer! What you will be doing: Own HSIO (PCIe/NVLink) validation of products from start to finish including test plan development, automation, design for validation requirements, resource planning, coverage metrics, test execution, bug resolution, and release to production. Coordinate with internal and external logic design, circuit design, board design, Simulation, diagnostics, firmware, driver, and marketing teams in different time zones, to ensure our products HSIO subsystem is specification compliant and tuned for optimal workload performance, and to drive the system into production. Assist in the bring-up of new hardware and solving tough system and board level issues with a focus on HSIO at a system level. Participate in reviewing board schematics, PCB layouts, and making design and component suggestions. Ensure interoperability with connected devices and system components in sophisticated interconnect topologies. Solve complex hardware and software HSIO issues at the system level on GPU accelerated computing platforms. Provide engineering support for manufacturing in both NPI and MP stages of production. What We Need to See: Ability to work on site in hardwar

We are searching for a Backend Compiler Engineer for an exciting and fun role in our GPU Software organization. Our Compiler team is responsible for constructing and emitting the highest performance GPU machine instructions for Graphics (OpenGL, Vulkan, DX) and Compute (CUDA, PTX, OpenCL, Fortran, C++). This team is comprised of worldwide leading compiler engineering experts who provide leading edge performance and capabilities for NVIDIA's current and future complex parallel SIMT architectures. What you will be doing: Understand, modify, and improve an NVIDIA proprietary GPU compiler backend written in C++ Design and develop new compiler passes and optimizations to produce best-in-class, robust, supportable compiler and tools Work with global compiler, hardware and application teams to oversee improvements and problem resolutions Be part of a team that is at the center of deep-learning compiler technology spanning architecture design and support through functional languages What we need to see: B.S. or degree in Computer Science/Engineering or equivalent experience 4+ years of compiler code generation experience Excellent hands-on C++ programming skills Strong background in software engineering principles with a focus on crafting robust and maintainable solutions to challenging problems Good communication and documentation skills and self-motivated Ways to stand out from the crowd: M.S./PhD. with significant compiler related project or thesis work preferred Background in LLVM code generation including instruction scheduling, software pipelining, register allocation, GlobalISel, TableGen, LLVM IR, and Machine IR (MIR) Experience in developing CUDA, DirectX, OpenGL/Vulkan applications With highly competitive salaries and a comprehensive benefit

We are now looking for a Senior Performance Verification Engineer! As a member of our CPU Performance verification Team, you will be responsible for performance correlation, analyzing workloads and benchmarks for performance bottlenecks, developing microbenchmarks and creating the necessary verification infrastructure for performance analysis. This position offers you the opportunity to have real impact in a dynamic, 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: Technical leadership role to define/plan/implement/execute performance verification strategy of sophisticated CPU designs Ability to delve into lowest level details of CPU unit design specification, implementation and it's performance impact Interactions with architect and design engineers to define detailed scope of micro architectural features Draft detailed performance testplans and define/Create scalable micros to validate features Analysis and correlation of CPU benchmarks/workloads Build infra/tooling needed for efficient performance correlation debug Ability to lead and provide detailed technical guidance to junior engineers Agility to work on multiple tasks/projects What we need to see: BS or MS in EE/ECE or equivalent experience. PhD is a plus 5+ years of experience in CPU performance modeling, performance correlation, performance analysis, or relevant experiences Strong understanding in CPU micro architecture and designs Experience with workload analysis and characterization Strong coding skills in scripting l

Are you passionate about the future of autonomous vehicles? Join our DRIVE Road Structure, Online Mapping, and Context Fusion team to help build the next generation of self-driving technology! In this role, you’ll work alongside experienced engineers to develop advanced 3D world models that combine map and perception data, enabling vehicles to safely navigate complex roads and intersections in the U.S. and China. This is a fantastic opportunity to grow your skills and contribute to groundbreaking projects at the heart of our vision for autonomous driving. What you'll be doing: Contribute to Core Autonomous Driving Systems: Help develop and refine systems that integrate state-of-the-art perception and mapping technologies for use in diverse driving environments. Build Real-Time 3D World Models: Assist in creating dynamic 3D models by combining data from sensors and external sources to support planning and navigation. Support Mapless Driving Capabilities: Work on enriched bird’s-eye-view (BEV) models to enable autonomous vehicles to navigate complex urban settings without relying solely on high-definition maps. Enhance Scenario Understanding: Help build static obstacle and occupancy grids, and generate occlusion masks to improve the vehicle’s understanding of its environment. Collaborate Across Teams: Work closely with perception and planning teams, learning from experts and contributing to shared goals. Maintain High Standards: Write high-quality code and follow automotive industry best practices for safety and reliability. What we need to see: PhD with 1+ year, MS with 4+ years, or BS (or equivalent experience) with 6+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field. Strong relevant software development experience, ideally with some exposure to robotics, autonomous vehicles, or relat

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA’s GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team! NVIDIA Architecture Modeling group is looking for Architects, Software Engineers, and AI application developers to join our various architecture efforts across GPU's and SOC's. In this position, you will be working with other world-class architects on enabling state-of-the-art GenAI applications integrated with simulation platform and architecture teams' process workflows. What you’ll be doing: Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity Use state-of-the-art AI tools and techniques to accelerate GPU/ SOC Architecture modeling Work with hardware architects to identify how to best design, customize, and deploy AI-based solutions to their specific problem domains. Collaborate with infrastructure engineers to improve existing automated workflows by incorporating LLMs and establishing best practices for future solutions. Research emerging AI technologies and engineering best practices to continuously evolve our development ecosystem and maintain a competitive edge. What we need to see: BS, MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a relate

NVIDIA is building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them. Our team’s mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI. As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure. What you'll be doing Design, implement, and upstream new capabilities for Kubernetes and CNCF projects. Collaborate with engineering teams across NVIDIA to identify AI infrastructure challenges and solve them through upstream innovation. Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities. Participate in architecture discussions, API design, technical proposals, and code reviews. Build reliable, scalable infrastructure software for next-generation AI workloads. Write clear technical documentation and design proposals. What we need to see B.Sc/M.Sc or higher in Computer Science, Computer Engineering, or a related field or equivalent practical experience. 5+ years of software engineering experience building distributed systems, cloud infrastructure, or platform software. Deep understanding of Kubernetes and the cloud-native ecosystem. Experience extending, building, or contributing to Kuberne