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Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology’s DRAM and Emerging Memory Group (DEG) is a distributed team of engineers and innovators focused on advancing next-generation memory technologies. For more than 43 years, Micron has been a leader in semiconductor innovation, delivering solutions that power applications ranging from artificial intelligence and high-performance computing to immersive digital experiences. The team is committed to innovation, integrity, sustainability, and meaningful community impact while driving the future of memory technology. As an HBM Memory Design Engineer, you will design, analyze, and optimize digital, analog, and memory circuits used in High Bandwidth Memory (HBM) products. You will collaborate with global design, verification, and product teams to develop high-performance DRAM solutions that meet manufacturability, reliability, and performance objectives. This role provides the opportunity to contribute to innovative memory technologies supporting AI, HPC, and data-centric applications. As part of Micron’s AI-Enabled workforce transformation, you will leverage AI-Assisted tools and data-driven methodologies to improve engineering productivity, accelerate design analysis, enhance decision-making, and drive innovation throughout the product development lifecycle. Responsibilities Design, analyze, and optimize memory, logic, and analog circuits for HBM products, including support for layout, validation, and tape-out activities. Perform circuit verification, parasitic modeling, and design simulations

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Department Overview The Probe Equipment Engineering team is responsible for ensuring the performance, reliability, and continuous improvement of probe manufacturing equipment within Micron's semiconductor operations. The team partners closely with Manufacturing, Process Integration, Facilities, Quality, and Supplier Engineering organizations to support world-class operational excellence, equipment availability, and product quality while enabling advanced technology node development. Position Overview As a Probe Equipment Engineer at Micron Technology in Boise, Idaho, you will coordinate the installation, modification, upgrade, qualification, and advanced maintenance of manufacturing equipment. You will collaborate with cross-functional teams to increase tool availability, optimize equipment performance, and ensure manufacturing outputs meet or exceed quality standards. In this role, you will leverage data analytics, automation, AI, and machine learning technologies to improve equipment reliability, accelerate problem-solving, and drive manufacturing efficiency. Your work will help enable smarter factory operations and support Micron's continued advancement of AI-driven semiconductor manufacturing capabilities. Responsibilities Drive improvements in equipment availability, relia

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As an AI Reimagination Engineer in Micron's Generative AI Center of Excellence (GenAI COE), you have an outstanding chance to transform how businesses function. You will partner with different business areas to break down large, manual, multi-step processes and redesign them into effective, autonomous systems. This position combines process reimagination with AI systems engineering, making you a key part of the transformation journey. You will collaborate closely with the GenAI COE, IT architecture, security, and project teams. You will lead projects from the initial redesign to the final build, delivering solutions that business teams can adopt and scale. Responsibilities: Decompose end-to-end processes: Map current-state flows, quantify effort and risk, and lead eliminate/simplify/agentify analysis before automation. Architect the agentic solution: Build future-state flows and AI architecture, including task and agent decomposition, orchestration patterns, tool and data access, memory and context strategy, and human-in-the-loop controls. Translate inventions into buildable solutions by developing agent workflows, composing prompt and context strategies, MCP/connector and integration requirements, and evaluation criteria. Follow Micron's “Secure by Design”

PWI R&D Writing Systems Engineer Description - A Writing Systems Engineer is an experience individual contributor responsible for owning system-level performance of industrial inkjet web presses , with a strong emphasis on hands-on engineering, on-press troubleshooting, and technical leadership . This role leads complex problem solving across ink, printhead, media, firmware, and mechanical systems, driving print quality, reliability, and robustness through a combination of deep systems thinking and direct experimentation . The specialist serves as a key decision-maker in resolving ambiguous, cross-functional issues and ensuring successful product delivery. Responsibilities Hands-on system ownership & advanced troubleshooting (Primary) Serve as the technical owner for system-level performance , including print quality, reliability, and production robustness Lead hands-on troubleshooting on industrial web presses , diagnosing complex print defects (banding, mottle, nozzle behavior, edge effects, etc.) Design and execute on-press experiments (DOEs) to isolate root causes and quantify system sensitivities Drive root cause analysis across subsystems (ink formulation, printhead, firmware, mechanics, media) and implement corrective actions Support press bring-up, ramp, customer escalations, and field issues , often in high-pressure situations requiring rapid, data-driven decisions Translate real-world press behavior into actionable engineering insights and design improvements System design & integration leadership Define and develop system-level solutions to optimize ink/media interactions, printhead performance, and image quality Lead integration of subsystems (ink, printheads, m

Role Description As a Software Engineer on the Metadata team, you’ll build and operate the large-scale distributed databases that every Dropbox service depends on. Metadata systems are mission-critical, in the live path for all user operations and must meet stringent requirements for latency, durability, and transactional consistency. You’ll design and evolve the core infrastructure that manages Dropbox’s databases at scale, enabling fast, reliable access to data for millions of users and hundreds of internal services. This work spans distributed systems, replication, caching, and transactional database systems. You’ll collaborate closely with engineers across Infrastructure and Product teams to ensure the metadata layer meets business needs and continues to scale with Dropbox’s growth. This is an opportunity to leverage your expertise in distributed systems and grow into broader technical leadership. Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here . Responsibilities Design and maintain distributed database systems providing low-latency, strongly consistent data access Implement and optimize replication, consensus, and caching mechanisms to meet availability and performance goals Operate production systems, including participating in the on-call rotation, ensuring high availability and data durability Collaborate with infrastructure and product teams to assess current and future use cases and requirements, supporting the development of a mid- to long-term roadmap that reflects these needs Contribute to system design reviews, postmortems, and reliability improvements Write high-quality, efficient code in Go and Rust for performance-critical systems On-call work may be necessary occasionally to help address bugs, outages, or other operational issues, with the goal of maintaining a stable

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 Data Scientist What is the opportunity? We are seeking a highly skilled and motivated Data Scientist to join our Cyber Analytics team within the Security Solutions Data Science organization. This role is critical to driving advanced analytics initiatives, improving fraud detection capabilities, and supporting strategic decision-making across cybersecurity and payment fraud domains. What will you do? • Gain subject matter knowledge on web application security, commonly exploited cyber vulnerabilities, and methods of online and payment card fraud including the common points of purchase for compromised cards. • Build, develop, and maintain innovative data-driven analytical solutions, including predictive models and machine learning algorithms, on large volumes of data to support analytics and reporting needs across products, markets, and services. • Competently handle large datasets, sifting for patterns and trends and translating those insights into technical rules and solutions. • Combine cybersecurity and transaction data into new and insightful views of fraud and vulnerability across the Mastercard network. • Collaborate with cross-functional teams including product, engineering, and operations to understand product, usage, and data pipelines as well as delivering scalable solutions. • T

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The Everpure Engineering team builds the industry’s most innovative, high-performance, and highly available portfolio of storage products designed for the most demanding mission-critical applications. While we deliver hardware storage arrays, over 90% of our engineering staff are software engineers. Our customers are the core of our business, and they love FlashArray for its simplicity, continuous stream of upgrades, and ability to stay on the cutting edge without ever experiencing downtime. These innovations enable our customers to leverage the agility of the public cloud across both traditional IT and cloud-native applications. WHAT YOU'LL DO Hardware Design & Leadership: Plan, lead, implement, and debug hardware design and qualification projects from concept through production. Full Lifecycle Participation: Participate in all phases of product development, including architecture design, technical documentation, eDVT, failure analysis (FA), and custom hardware support. Validation & Automation: Define, execute, and automate hardware validation and qualification frameworks to enhance test coverage, efficiency, consistency, and product robustness. Cross-Functional Collaboration: Partner with Software, Operations, Manufacturing Test, and Support teams to seamlessly introduce new storage subsystems into production. Escalations & Root Cause Analysis: Serve as an escalation point for

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here . Job Title: Software Engineer II, Data Analytics and Engineering Intro: We’re looking for a Software Engineer II, Data Analytics and Engineering to improve the quality, reliability and velocity of data science and product development at Pinterest. You’ll build scalable data foundations, analytics tooling and analysis pipelines that enable trusted, self-service access to datasets, insights and metric investigations across cross-functional teams. What you’ll do: Develop and document practical instrumentation and experimentation standards, then partner with product engineering teams to apply them to priority product development work. Build and improve scalable analysis pipelines and tooling that produce reliable insights at scale and strengthen understanding of key data structures and metrics. Create tools and processes that enable Data Scientists a

About Dot Collective We are a new generation consultancy based across UK and EU and founded on the premises of the engineering excellence and empowering people to make an impact. We work with all modern tech stacks and typically run agile scrum on all our projects. About you Are you passionate about data and its transformational powers? Do you like being able to make a huge difference in a limited period of time? We might be just the right place for you. Your key skills and capabilities: · Implementing cloud-native data platforms · Engineering scalable and reliable pipelines · Good knowledge of distributed computing with Spark · Understanding of cloud architecture principles and best practices · Hands-on experience in designing, deploying, and managing cloud resources · Excellent python and SQL skills · Agile ways of working · Experience in cloud automation and orchestration using tools such as CloudFormation or Terraform · Monitoring and performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving – Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining – Set up model drift detection, performance monitoring, and automated retraining ML Pipelines & CI/CD – Automate end-to-end ML workflows We expect you to have some knowledge about how to architect, design, develop, deploy, and operate a data platform. Our promise to you We will always see you as a human being and will do our very best to support your needs and wellbeing – well-designed co-working and collaboration spaces, remote working patterns that work for you, parenting leave, sabbatical

We're looking for an ML Data & Platform Engineer to own the infrastructure that powers our speech AI models: the pipelines that source and prepare training data, and the platform that trains, evaluates, and serves them in production. Speech AI has a data problem most ML teams don't, and you'll be at the centre of solving it, working as part of our ML team to remove friction across the entire lifecycle and get better models into production faster. This is a broad, cross-functional role suited to someone who enjoys working across the full stack: data infrastructure, distributed systems, and production ML, and who takes ownership of problems end to end rather than waiting to be told what to fix. What you'll do Designing, building, and maintaining scalable data pipelines for ingesting, transforming, validating, and storing large datasets used to train our models Developing and maintaining web scraping and data acquisition solutions to keep training datasets fresh, high-quality, and available at scale Building and operating the infrastructure that lets the ML team deploy and evaluate new models quickly, and that serves models efficiently and reliably in production Optimising infrastructure for both iteration speed and production reliability, including GPU utilisation, job scheduling, and training efficiency Implementing observability (monitoring, logging, alerting) across data pipelines and ML systems to catch issues early and keep things running smoothly Troubleshooting complex issues across distributed systems, spanning data infrastructure, training, and inference Continuously improving our data and MLOps practices, and helping shape the roadmap for how our platform evolves as we scale What you'll need Strong proficiency in Python and SQL, with a solid backend or data engineering foundation Hands-on experience with containerisation and orchestration (Docker, Kubernetes), and working with a major cloud provider Experience building data pipelines and ETL/ELT processe

Who are we? FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever- evolving cryptocurrency landscape. Senior Software Engineer - Risk Location: Bengaluru (Onsite) Impact You’ll architect and build the next-generation risk solutions for FalconX and its clients. FalconX is the institutional gateway to digital asset markets. FalconX processes more than $1T+ in trading volume across spot and derivative instruments, has financed $2.5B+ in loan originations and is the 1st CFTC-registered swap dealer focused on cryptocurrency derivatives. You will evolve FalconX’s risk technology to be best-in-class. You will work on cutting-edge technology with the right balance of speed, accuracy and reliability. Well-reputed financial institutions and crypto firms will trust and rely on your solutions for their day-to-day work. You will help unlock increased business potential and opportunities for FalconX and our clients. Responsibilities Develop, maintain and enhance FalconX’s proprietary risk management tools, infrastructure, risk data, and processes. Architect and build scalable, robust, performant risk solutions for institutional customers and internal teams. Work closely with multiple members of the risk team to develop, maintain and improve the risk management stack. Coach and mentor teammates on supporting and maintaining FalconX’s risk solutions. Requirements Degree in Compu

Reolink , a leader in intelligent visual technology for homes and businesses, was founded in 2009 by a group of engineers with a strong commitment to and passion for smarter security solutions. Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. 5 Work Days Per Week Relocate Near Tai Seng MRT in August 2026 Medical Benefits Provided Entitled to Yearly Bonus & Performance Bonus Role Overview The Financial Analyst (Power BI Specialist) plays a key role in strengthening the company's financial planning, reporting, and analytics capabilities. This position is responsible for delivering high‑quality financial insights through advanced data modeling, interactive dashboard development, and automation of reporting processes. Working closely with FP&A, Finance, and cross‑functional business teams, the analyst drives data‑driven decision‑making by transforming complex financial data into clear, actionable insights. The ideal candidate combines strong financial acumen with deep technical expertise in Power BI, ensuring accuracy, efficiency, and scalability across the company's reporting framework. Key Responsibilities Financial Reporting & Analysis Prepare monthly, quarterly, and annual financial reports, ensuring accuracy and timeliness. Conduct comprehensive variance analysis against budget, forecast, and prior periods. Analyze key financial metrics including revenue performance, cost drivers, gross margins, working capital, and operational KPIs. Support budgeting, forecasting, and long‑range financial planning cycles. Provide ad-hoc financial modeling, scenario analysis, and business insights to management. Power BI Development & Data Visual

Couchbase, the operational data platform for AI, empowers businesses to succeed by bringing data to life in new ways. Major market-leading companies rely on Couchbase for mission critical operational, analytical, mobile and AI workloads. Built to replace legacy infrastructure and fragmented data services, Couchbase empowers enterprises with a unified platform architected for performance, flexibility and global scale. With Couchbase, organizations bring their data to life, launching game‑changing customer experiences, exploring the limitless potential of AI, and seamlessly extending applications from the cloud to the edge and beyond. Couchbase’s AI‑ready technology and enterprise partnership model eliminate complexity and reduce total cost of ownership, enabling teams to stay agile, innovative and secure. Couchbase believes data should never slow you down, but act as the foundation for your next breakthrough. Discover why Couchbase is trusted to help the world’s biggest players scale, move fast and stay resilient, no matter what’s next on their roadmap. Visit couchbase.com and follow us on LinkedIn and X. Want to be part of our story? Apply today! AI Platform Engineering Location: Bangalore (Hybrid - in office at least 3 days/week) About the Role We are seeking an experienced and visionary technology leader to lead the development and scaling of our Operational AI platform capabilities. This role will own the strategy, architecture, delivery, and operational excellence of Couchbase AI Cloud Platform capabilities. This is a strategic leadership role at the intersection of distributed systems, cloud-native platforms, and AI. You will lead a large, multi-layered engineering organization responsible for delivering The Operational Data Platform for AI, while partnering closely with Product, Design, SRE, and Go-To-Market teams. Your leadership will directly influence company growth, customer adoption, platform reliability, and Couchbase’s competitive pos

SpaceXAI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company’s mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates. ABOUT THE ROLE: We are seeking a talented Software Engineer to join our X Money team, focused on building a revolutionary global payment network that will serve over 600 million users and rival the world’s largest financial institutions. In this role, you will specialize in backend development, designing and optimizing robust microservices to ensure scalability, security, and reliability. You will support full-stack efforts, collaborate with cross-functional teams on payments, fraud detection, and compliance initiatives, and contribute to the creation of a high-scale financial products platform. This is an opportunity to work on greenfield projects in a fast-paced, startup-like environment, driving innovation at the intersection of AI and finance. RESPONSIBILITIES: Develop backend services, APIs, and data models to support high-volume, multi-user environments. Work with iOS, Android & Web client engineers to ship products. Design robust infrastructure and microservices for payments, transactions, growth, monetization, and engagement across platforms. Build and maintain fullstack features, including user dashboards, personalized experiences, content delivery, interactive tools, assessments, and real-time analytics. Le

InnoPhase Inc., DBA GreenWave Radios™, is at the forefront of innovation in Open RAN digital radios. Our cutting-edge solutions, powered by the Hermes64 RF SoC, are designed to enhance network energy efficiency while dramatically reducing operational expenses, with purpose-built silicon that is the heart of ORAN-based active antenna arrays. Headquartered in San Diego, California, GreenWave Radios™ has established itself as a pioneer in delivering power-efficient digital-to-RF solutions. The company is supported by a talented team of over 100 engineers spread across four global R&D facilities. With an extensive portfolio of more than 120 global patents, GreenWave Radios™ continues to push the boundaries of radio technology and innovation. To learn more about GreenWave Radios™ and hear what our employees have to say, visit the GreenWave™ certification profile at GreatPlacetoWork.com or explore our Home - GreenWave Radios website. InnoPhase Inc., DBA GreenWave™ Radios and Synergic Emergence have a co-employment relationship. For over three years, GreenWave Radios has partnered with Synergic Emergence, a professional employment organization provider, to offer our employees the best benefits and services. This arrangement means that Synergic Emergence provides employee pay checks and benefits, and GreenWave Radios will provide employment, evaluation, and advancement. By outsourcing some HR functions, GreenWave Radios can focus on what we do best – developing and implementing highly innovative SOC cellular radio integrated circuit products. Job Description InnoPhase Inc., DBA GreenWave™ Radios Bangalore is looking for a Lead Engineer – SQA Automation to join our fast-paced and motivated team to drive excellence in our 5G products. This role is an excellent opportunity for someone that enjoys driving the critical path and making a significant impact in launching products into the market and winning! Key Responsibilities • Design,