Production Dx Engineer Jobs

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. As a MTB Assembly ES Tech, you will be responsible for maintaining machine OEE and improving machine alarm CIP. Use mechanical and electronic skills to troubleshoot and repair down equipment. Assist with equipment installs and upgrades and create and modify equipment procedures. Requirements: Ability to handle the thinning or dicing tool -steal dicing, laser groove, NCF lamination Understand the tool installation, setup and buyoff Work experience: 3 years above Understand the tool signal is prefer, such as SVID, CEID, ECID...etc Understand to handle the FDC analysis and improve is prefer English: ability to communicate for discussion with supplier Responsibilities and Tasks: Support, repair and upgrade production equipment Perform PM (Preventive Maintenance) and Change Over on production equipment effectively and efficiently Assist Supervisors/Engineers in making quality and reliability improvements Troubleshoot and analyze machine failure mechanism or frequency Minimize equipment downtime through preventive maintenance / fixes Monitor and improve on repair cycle time through continuous improvement effort Involved in Empowerment & Autonomous Maintenance Team activities AI in Job Responsibilities: ​ •Integrates AI-assisted tools and insights into daily work to improve efficiency,

ABOUT TOPGOLF Topgolf is a sports entertainment company that has changed how millions of people experience golf and where you can build a serious career. Our venues are high-energy, high-volume environments where performance matters and results are visible. Every day, we bring together golf, food and beverages, events, and entertainment into one experience that keeps guests coming back. WHAT WE’RE SEEKING Do you hold the line on quality even when it is busy? Can you lead a kitchen team through a high-volume service and still have the team better when the shift ends than when it started? We are looking for a Culinary Manager who leads from the front. Someone who understands food cost and portion control, coaches their team through the work, and takes genuine ownership of the kitchen's performance. Consistency is not lucky. It is what happens when a leader pays attention. If you run a tight, proud kitchen, this is where those matter. WHAT YOU WILL DO Lead Kitchen Operations • Supervise the kitchen team in delivering best-in-class culinary experiences every shift • Coach and develop Team members and drive engagement across the kitchen • Delegate tasks effectively and follow up to ensure completion and quality • Manage day-to-day line operations or events execution as assigned Maintain Culinary Standards • Select and develop recipes to corporate approval and standardize production for consistent quality • Establish and maintain presentation techniques and quality standards • Plan and cost menus for special events and chef-choice occasions • Ensure proper equipment operation, maintenance, and cleanliness Manage Costs and Inventory • Monitor inventory levels and purchase product within budgetary guidelines • Maintain food and labor costs accordin

The NVIDIA DGXC Data Services team builds cloud-native systems, frameworks, and services for managing data across hybrid and multi-cloud infrastructure. We are building the next-generation data and storage infrastructure to solve some of the hardest problems in AI: storage, access, ingestion, governance, observability, and data management for exabyte-scale, high-performance GPU-based training and inference jobs. Our work gives NVIDIA teams the foundational capabilities they need to build, train, deploy, and operate AI products at scale without reinventing critical data infrastructure for every workload. What you will be doing: Build cloud-native data and storage services for hybrid and multi-cloud infrastructure, including dataset discovery, ingestion, governance, checkpointing, observability, and low-latency access. Develop scalable cloud-native services and APIs that support exabyte-scale, high-performance GPU training and inference workflows. Work closely with product managers, internal AI teams, platform teams, and partner engineering teams to understand requirements and turn them into reliable production systems. Collaborate with SRE, operations, and support teams to improve service reliability, performance, observability, on-call readiness, and operational scale. Use modern software engineering practices, including AI-assisted and agentic development workflows, while maintaining high standards for design, testing, security, and verification. What we need to see: BS in Computer Science, Information Systems, Computer Engineering, or equivalent experience, with 5+ years of software engineering experience. Strong foundation in algorithms, data structures, distributed systems, and practi

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 Software Engineer Overview Join a team responsible for building the authentication and security solutions that help protect digital interactions across Mastercard's Identity Solutions platform. As a Senior Software Engineer, you will design, develop, and support secure, scalable, and high-performing applications that enable trusted identity verification, authentication, and fraud prevention capabilities. In this role, you will take ownership of complex technical challenges, contribute to software design and architecture decisions, and partner closely with product, security, and platform teams to deliver reliable, production-ready solutions. You'll play a key role in advancing engineering excellence through secure development practices, system reliability, automation, and continuous improvement while mentoring other engineers and influencing technical direction across the team. Role •Design, build, test, deploy, and maintain scalable, cloud-native applications and microservices •Develop REST APIs using Java and Spring Boot, focusing on performance, scalability, and reliability •Translate requirements into well-structured designs and architecture, ensuring maintainability and security •Lead and contribute to system design discussions, aligning with architectural standards and best practices<

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. Qualification – Bachelor / Master in Engineering 10 to 12 Years of Industrial Experience in Material Management / Warehouse Management / Inventory Control / Tooling Management in a large Manufacturing Organization Working knowledge in SAP/MES/Data Visualization software will be an added advantage Outstanding communication & presentation skills A proactive and ambitious approach, with a passion for innovation Job Scope Responsible for planning Indirect Material for the Semiconductor Assembly facility based on the forecast Follow up with procurement team for the availability of Indirect Material on time Maintain the Indirect Material room at the Assembly and Test manufacturing areas Responsible for fabrication tools ordering, delivery and maintenance according to manufacturing requirements Responsible for Inventory control and accuracy at Assembly/Test floor and achieving the KPIs Responsible for WIP management at test floor for faster access and handover to production Collaborating with cross-functional teams to drive continuous improvement and address any manufacturing challenges Using Artificial Intelligence. Analyze and resolve manufacturing issues in real time to ensure flawless production flow. Develop and maintain documentation for manufacturing processes, ensuring alignment with company Quality Manual/industry standards. Ensure all manufacturing activities compliance to safety and regulato

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. As an MSSQL Database Engineer (DBA you will plan, coordinate and administer database functions, documentation, upgrades, lifecycle, long-range requirements, operational guidelines and data protection. In this role, you will regularly work with Micron’s Business Units to ensure solutions meet or exceed business requirements. You will keep the database up and running smoothly 24/7. The goal is to provide a seamless flow of information throughout the company, considering both backend data structure and frontend accessibility for end-users. You will maintain operational excellence in multiple world-class Data Center environments, both on prem and cloud, with published standards and compliances. Responsibilities: Provision MSSQL instances, both in clustered and non-clustered configurations with replication, Azure & AWS database support. Ensure performance, security, and availability of databases / Handle common database administration and maintenance such as upgrade, backup, recovery, migration, etc. Monitor overall health of databases and provide timely resolution and root cause analysis for incidents to prevent issues. Profile server resource usage, capacity management, optimization and enhanced structure Collaborate with other infrastructure team members and user customers / Collaborate with multi-functional application teams to design efficient and scalable database structure throughout development, testing and deployment to production. Investigate and fix database-related issues,

About us Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor and Clay Bavor . Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. Sierra’s Applied Research team advances the quality, speed, and cost efficiency of the models powering our agents across a wide range of tasks. Our work spans post-training open-weight models for specialized capabilities and pioneering new approaches to voice AI, turning research breakthroughs into reliable production systems. What you’ll do Tackle unsolved applied AI and ML problems. Pushing the boundaries of post-training, voice AI, and long-horizon task execution, building agents that can reason, adapt, and reliably carry out complex tasks for customers. Determine when to build specialized models and when to use externally provided frontier intelligence, balancing quality, speed, and cost to deliver customer value. Turn ambiguous product and customer pro

About the Team The Cooperative AI team is scaling OpenAI with OpenAI. We are building an AI powered knowledge system that evolves and learns as our products, systems and customers evolve. We leverage our state of the art models, technologies, and products (some external, some still in the lab) to assist or completely automate robust operations supporting both internal and external customers. We support OpenAI customers and internal partners globally, powering systems from customer support to integrity to product insights. We are a self-contained multi-disciplinary team, who enjoy a lightning fast feedback loop with customers at scale, some of whom sit just a few pods away. We iterate fast, and engineer for reliable long-term impact. We're constantly looking for the similarities and patterns in different types of work, and focus on building simple primitives, to apply world class knowledge to many domains. The work of this team exemplifies use of OpenAI technologies. We build systems so everyone can see the leverage that is possible with well designed AI-based implementations. We do this by working through internal use cases focused on Customers (specifically knowledge systems, automation systems, and automated agent systems) to prove impact, then we scale. About the Role We’re looking for Software Engineers who're passionate about blending production-ready platform architecture with new tech and new paradigms. You’ll push the boundaries of OpenAI’s newest technologies to enable interactions and automations that are not only functional, but delightful. We value proactive, customer-centric engineers who can get the foundational details right (data models, architecture, security) in service of enabling great products. In this role, you will: Own the end-to-end development lifecycle for new platform capabilities and integrations with other systems Collaborate closely with engineers, data scientists, information systems architects, and internal customers to understand th

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role We are looking for a hands-on Full-Stack Senior Software Engineer to join our IT Software Engineering team reporting directly to the Director, IT Software Engineering. Inside IT Software Engineering, we are shifting from a traditional "SaaS-only" procurement model to an agile Build and Buy strategy. Powered by the Elastic Stack—Elasticsearch, Kibana, Elastic ML, and native AI capabilities—our team builds custom, enterprise-grade applications and AI-powered bots for internal teams (IT, HR, Finance, Ops), replacing expensive third-party software contracts with faster, native solutions. This is a 100% individual contributor (IC) engineering role . You will lead the technical design, development, and deployment of full-stack internal web applications and conversational AI bots. You will write clean React and Node.js code, integrate backend services natively with Elasticsearch, and leverage modern AI development tools (Cursor, Claude, Copilot) to accelerate delivery—all while taking complete operational ownership of production systems. What You Will Be Doing Build Enterprise Applications: Write clean, maintainable code across React, TypeScript, and Node.js to design and ship full-stack applications that replace legacy SaaS tools. Develop AI Bots & Workflows: Architect and deploy intelligent internal bots using LLMs, Retrieval-Augm

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 Frontier AI is on track to be among the most consequential and most adversarially-targeted technology in the world. The capability curve is steep, the adversaries who want these systems are extremely well-resourced, and the security bar this will eventually require is well beyond where the industry operates today. Incremental hardening alone is not going to close that gap, so we need breakthroughs and a group of people to go find them. Security Labs is that team. We run a portfolio of high-risk, high-expected-value security projects: the work that seems impractical until someone optimistic and stubborn enough actually tries it. Projects run on the order of weeks rather than quarters, and each one is either handed off to the Anthropic team that will own it in production or wound down with a writeup of what we learned. We expect a meaningful fraction of our bets not to land. This team is intentionally scrappy and ambitious. We're intentionally iterating fast on high-risk research bets and we expect a meaningful fraction not to land. If a 30% project success rate sounds uncomfortable, or uncharted and chaotic territory isn’t both frightening and exciting, this probably isn't the right fit. There are other places in Anthropic Security doing important work with more structure, less risk, and more certain paths to positive outcomes. The questions we're trying to answer include: Can our core research workflows survive extreme isolation? Can we replace trust with cryptographic guarantees? Can the models themselves become our most effective security control? What would it actually take to defend against a tier-1 state adve

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 team Secure Frameworks is the team in Anthropic's Security Engineering org that builds shared security libraries and frameworks the rest of the company builds on. We collaborate closely with teams and leaders across Anthropic to own critical security foundations, including workload identity and authorization, cryptographic frameworks, and the centralized access proxy that secures traffic to internal applications. Our mission is to make the secure thing easy and the easy thing secure by helping Anthropic engineers get secure behaviour by default and preventing entire classes of vulnerabilities through careful design. We own what we ship, help customers adopt better security practices and at times we work embedded directly in research, infrastructure or product teams. About the role You will design, build and run security foundations used across Anthropic's fleet, from threat model through production, on-call and adoption. Much of the work is greenfield: our infrastructure is growing quickly and the timelines are compressed, so you will help define the architecture rather than inherit it. Depending on your strengths you will focus on one or two of the areas below and contribute across the rest. Build critical security foundations including cryptographic frameworks, mTLS infrastructure, secure serialization, and authorization systems, designed to prevent entire classes of vulnerabilities Partner with product, research, infrastructure, and other security teams to ensure frameworks integrate smoothly with lower-layer security controls Scope, design and build security services and libraries end-to-end, maintain t

About Us Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere. Our Values Data driven: Start with truth, measure what matters. Courageous: Bias to action; run toward hard problems. Innovative: Seek novel, elegant solutions. Lean: Do more with less. Build, ship, learn fast. Humble: Strong opinions, lightly held. About the Role We’re looking for a Middle Full-Stack Engineer (.NET) to join the Integra team. In this role, you’ll help build and improve payment-related experiences and supporting systems, with a stronger emphasis on frontend development and meaningful backend contribution where needed for integrations and service collaboration. This is a hands-on engineering role for someone with solid production experience who is comfortable working across the stack, writing automated tests, and contributing in an iterative team environment. You’ll work on important product and platform capabilities connected to payments, integrations, and user experience improvements. What You’ll Do Design, build, and improve frontend experiences that support payment flows and customer interactions (React). Contribute to backend development for integrations, service coordination, and enhancements across existing systems using C# and .NET. Write, maintain, and improve automated tests to support reliable, scalable delivery. Work with internal systems and third-party providers to implement and support payment-related integrations. Collaborate with engineers and cross-functional partners in an iterative development environment to deliver product and platform improvements. Work with complex SQL queries and data flows in a high-load environment where quality and performance matter. Help identify and implement technical improvem

This is Adyen. Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Financial Products About the Role The Financial Products org at Adyen is at the forefront of our evolution, building the foundational infrastructure that enables our customers to manage their finances, issue cards, and access credits and financing globally. Adyen is building a Machine Learning Engineering team in San Francisco focused on Credit Risk Modeling for Underwriting within Financial Products. This team will develop the models, scorecards, and production systems that enable Adyen to scale its credit products 100x. We’re looking for an enthusiastic, self-driven Engineering Manager to lead the Credit Risk Modeling team. You will lead the team that design, productionize, and operate machine learning models and rule-based decision systems that power credit products. Your team will work across the full model lifecycle, from research and data analysis to training, deployment, monitoring, and continuous improvement.. As an Engineering Manager, you will build, mentor, and coach a diverse and talented team of machine learning scientists and data engineers. You should be comfortable streamlining the team's engineering operations, refining product requirements together with product and merchants and encouraging effective collaboration. As a critical role in the continued success of our organization, you will help to itera

Key Attributes As a Senior Manager, you’ll be an accomplished and effective member of the Teneo Consulting team, leading client engagements with the support of Directors and Managing Directors, developing junior colleagues, and bringing a strong understanding of how data, AI and emerging technology can create measurable business value. You will operate at pace, demonstrate ownership and sound judgement, and be comfortable influencing and constructively challenging senior stakeholders. You will combine strong attention to detail with the ability to see the bigger picture, ensuring analysis and recommendations are rigorous, well-structured and executive-ready. Key Responsibilities Structure and lead projects or major workstreams of complex engagements, working directly with a Director or Managing Director and taking day-to-day ownership of delivery, team performance and client outcomes Demonstrate a strong consulting skill set, leading complex research and analysis, translating business problems into clear hypotheses and practical solutions, and structuring high-quality written output Develop the ‘answer’ from initial hypothesis through refinement and validation with senior colleagues and clients, combining rigorous analysis with sound commercial judgement Lead AI diagnostic and strategy engagements, framing the problem, identifying and prioritising AI use cases, and developing the value case to inform investment and transformation priorities. Lead AI transformation engagements from prioritised use cases through to production, orchestrating delivery across Teneo’s AI consulting capabilities, client teams and external vendors, and maintaining a clear focus on adoption and realised business value. Manage case teams on a day-to-day basis, including planning and delegating workload, coordinating multidisciplinary contributors, and providing coaching and development support to junior colleagues &n

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role This is a hands-on build role that will develop and maintain HR's data pipelines on our GCP/BigQuery/dbt data model, with an AI-powered analytics layer on top. Core platform infrastructure is provisioned centrally; you'll help configure HR-specific pipelines and dbt modeling work on top of it, in partnership with our data scientist, and stand up recruiting reporting and insights as the first production use case on the new stack. This role reports directly to the Director of HR Analytics, with high visibility into architecture and stakeholder-facing decisions from day one. Your mission is to move the organization away from manual reporting and toward a mature, self-service environment where senior stakeholders get decision-ready answers, not just data. What You Will Be Doing Build and Deploy Scalable Analytics Build and maintain data pipelines in BigQuery/dbt, on infrastructure provisioned by the central data platform team, that link HR data across the employee lifecycle (Workday, Greenhouse, Qualtrics, ServiceNow), so we can trace how hiring decisions affect long-term engagement and retention. Support and enhance the AI-powered analytics user experience. Develop scalable, self-service dashboards that reduce time spent on reactive, one-off data requests. Implement data governance practices (access controls, validation, documentati