Machine Operator Integrator 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. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The memory solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious engineer (Member of Technical Staff | MTS) to deliver industry-winning Agentic AI solutions that power Micron’s dominance in the highly competitive memory solutions market. This role sits at the intersection of applied Agentic AI engineering and production systems work: you will architect autonomous AI Agents and the agentic and data pipelines that power them, build robust CI/CD deployment paths to Kubernetes and containers, and push the limits of agent performance profiling and evaluation to turn massive data and compute into measurable manufacturing impact. Qualified applicants will have experience across data/cloud technologies and systems engineering, with extensive practice modeling data, querying, and deploying scalable pipelines to execute AI agents. You will collaborate with Data Scientists, Data Engineers and expert users to build and deploy scalable Agentic AI solutions that drive value and insight from Micron’s manufacturing processes and systems. If you enjoy solving hard problems at scale, thrive on turning speculative research in

We anticipate the application window for this opening will close on - 5 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+ 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 highly motivated Finance Forward Deployed Engineer (FDE) to join our Finance Analytics and Transformation team. This role sits at the intersection of Finance, Data, Analytics, Automation, and Artificial Intelligence. Unlike a traditional data engineering or analytics role, the Forward Deployed Engineer will work alongside Finance teams to deeply understand business processes, identify high-value opportunities, and rapidly design, deploy, and scale solutions that improve how Finance operates and makes decisions. The ideal candidate combines strong Finance and business acumen with hands-on technical capabilities. This individual will be comfortable participating in forecasting, planning, performance reviews, management reporting, and other Finance processes while also working directly with data, building analytical solutions, automating workflows, and applying emerging AI capabilities. The role requires a strong builder mindset: someone who can move from an ambiguous business problem to a working solution, partner with users to iterate quickly, and ultimately transition successful solutions into scalable enterprise capabilities. At Medtronic, we bring bold ideas forward with speed and

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. About the Role We are looking for experienced EDA/CAD engineer with hands-on AI, ML, or LLM experience who is excited to shape the next generation of AI-assisted workflows for custom memory development. In this role, you will apply your expertise in IC design, layout, verification, simulation, and design automation to identify and deliver high-value solutions that improve engineering productivity, quality, and cycle time. This position offers the opportunity to build on a strong CAD foundation while growing into a broader AI-focused role over time. Responsibilities Design, develop, and deploy software, automation, and AI-assisted solutions that improve IC design workflows across layout, verification, simulation, and tape-out activities Develop and enhance AI-assisted tools, agents, and automation that improve engineering productivity and design team efficiency Collaborate with worldwide design, layout, verification, and CAD teams to identify high-impact use cases for automation and AI enablement Build a

About the Role We are looking for an experienced Credit Risk Data Scientist who is data-driven, has strong analytical and technical skills, and operates with a high degree of ownership. In this role, you will lead the credit strategy that lets Chime lend to people before they have a relationship with us — starting with Instant Loans for new members (top of funnel) and expanding to future unsecured credit products such as credit cards. You'll develop risk policies and strategies to manage credit risk throughout the member lifecycle, and you'll work as a trusted cross-functional partner with product, growth, data engineering, machine learning, and analytics teams, interacting with business stakeholders across many departments. In this role, you can expect to Own credit strategy for new-to-Chime applicants across the member lifecycle, starting with Instant Loans for prospects (top of funnel) and extending to future unsecured products such as credit cards and/or lines of credit Develop and evolve channel-specific credit policies (pre-approval / prescreen, direct mail, open application, referrals, and affiliates) that support growth while balancing risk, unit economics, and member experience Design and continuously iterate acquisition, loan amount / line assignment, pricing, line management, repayment, and collections strategies Leverage credit bureau (e.g., Experian), alternative, and internal Chime data to underwrite applicants with no prior Chime relationship; build credit models and policies hands-on and in partnership with our DSML team Lead test-and-learn: design and read out champion/challenger tests and controlled ramps, and quantify trade-offs among approvals, losses, direct deposit conversion, and lifetime value Partner with Finance and Strategy to size new channels and forecast approval funnels, vintage losses, and unit economics; set launch criteria, guardrails, and expansion triggers Collaborate with data teams to build data infrastructure and early-read mon

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 As a Data Scientist on the Digital Experience Insights team, you'll lead high-impact analytics initiatives, turning complex data, platform, and time-series data into rigorous predictive models, causal inferences, and strategic product metrics. You'll also apply advanced statistical and quantitative research methods to some of our most complex datasets, but the core of the role is turning that analysis into decisions leadership can act on. This role sits within a fast-moving analytics organization where the specific problems shift over time, so we're looking for someone with strong research rigor who can adapt it to whatever question is in front of them. WHAT YOU'LL DO Advanced Predictive & Statistical Modeling: Develop ML models spanning predictive modeling, time-series prediction, clustering, churn reduction, anomaly detection, and recommendation systems. Quantitative Research: Apply advanced computational methods and statistical techniques, including multilevel models and Statsmodels, to massive datasets. Executive Visualization: Create executive-level visual analytics that make complex findings accessible to senior stakeholders. Stakeholder Collaboration: Partner directly with Product, Engineering, and Business leaders to translate complex analytical findings into actionable strategy. We are primarily an in-office environment and therefore, you will be expected to work from the Santa Clara office in complia

About the Team The Tax Technology Automations & Innovation team — known internally as the AI Team — builds the automations, Generative AI, and internal tooling that let DoorDash's global Tax function scale as the business grows across the US, Canada, and — through Wolt and Deliveroo — internationally. We turn manual, repetitive tax work into reliable, governed software, and we bring modern AI into the heart of how a tax function operates — responsibly, and with auditability built in. The team is organised into an AI Strategy function and three regional pillars: EMEA, US & Canada, and Coffee & Special Projects. This role sits in the AI Strategy function and reports to the Tax Technology lead. You will set the technical and AI direction the three regional pillars build around, and partner across Tax, Tax Tech, Data Operations, Accounting, Product, and Engineering, as well as InfoSec, Internal Audit, and Compliance. About the Role DoorDash is looking for a senior-level AI and data expert to lead how the Tax department operates through automation, Generative AI, and intelligent data tooling. Beyond building high-impact automation, you will set the strategy for how LLMs, GenAI, and machine learning are integrated into critical tax workflows at scale, and act as the AI authority for the function. This is the role that makes the entire team AI-native rather than merely AI-assisted. By owning the AI and automation governance framework, you will also ensure that everything the team builds on top of sensitive tax data stays controlled, defensible, and audit-ready. You don't just build — you set the bar, mentor the regional teams, and decide how we adopt a fast-moving technology responsibly. You're excited about this opportunity because you will… Define and lead the GenAI strategy for the Tax function, identifying high-value use cases and setting adoption standards. Architect and deploy enterprise-grade AI solutions — intelligent assistants, AI-driven classificatio

Key Responsibilities : 4–7 years of experience in Fraud Risk Management, Trust & Safety, or Risk Engineering, ideally in fintech, payments, or banking Hands-on experience building or operating real-time fraud detection and transaction monitoring systems Strong understanding of risk scoring, rules engines, and/or ML-based fraud detection approaches Experience working with payment flows, UPI, wallets, or similar transaction-heavy systems Familiarity with regulatory requirements around fraud and risk controls — NPCI, RBI, sanctions/watchlist screening, suspicious-transaction reporting, and comparable regimes Proficiency in Python or a similar language; comfortable working with SQL and large transactional datasets Strong analytical mindset, with the ability to translate emerging fraud patterns and typologies into actionable detection logic Comfortable owning a control that only works if someone actually works it — the review queue and escalation path are real from the day you’re behind them Experience with UPI/TPAP ecosystems or NPCI-regulated payment products is a plus Experience with case management tools and fraud investigation workflows is a plus Exposure to machine learning-based risk models in production, including model governance and drift monitoring, is a plus Prior experience supporting statutory or regulatory audits related to fraud or risk controls is a plus

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Senior Software Reliability Engineer - Data Platform About the Team The Data Platform team is responsible for the foundational data services, systems, and data products for Okta that benefit our users. Today, the Data Platform team solves challenges and enables: Streaming analytics Interactive end-user reporting Data and ML platform for Okta to scale Telemetry of our products and data Our elite team is fast, creative and flexible. We encourage ownership. We expect great things from our engineers and reward them with stimulating new projects, new technologies and the chance to have significant equity in a company. Okta is about to change the cloud computing landscape forever. About the Position This is an opportunity for experienced Software Reliability Engineers to join our fast growing Data Platform organization that is passionate about scaling high volume, low-latency, distributed data-platform services & data products. In this role, you will get to work with engineers throughout the organization to build foundational infrastructure that allows Okta to scale for years to come. As a member of the Data Platform team, you will be responsible for designing, building, and deploying the systems that power our data analytics and ML. Our analytics infrastructure stack sits on top of many modern technologies, including Kinesis, Flink, ElasticSearch, and Snowflake. We are looking for experienced Software Engineers who can help des

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. Job Summary – Member of Technical Staff - Agentic AI Architect, Smart Manufacturing AI Pathfinding & Innovation (AIPI) Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The memory solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. The Smart Manufacturing and AI team at Micron Technology is looking for an ambitious engineer (Member of Technical Staff | MTS) to deliver industry-winning Agentic AI solutions that power Micron’s dominance in the highly competitive memory solutions market. This role sits at the intersection of applied Agentic AI engineering and production systems work: you will architect autonomous AI Agents and the agentic and data pipelines that power them, build robust CI/CD deployment paths to Kubernetes and containers, and push the limits of agent performance profiling and evaluation to turn massive data and compute into measurable manufacturing impact. Qualified applicants will have experience across data/cloud technologies and systems engineering, with extensive practice modeling data, querying, and deploying scalable pipelines to execute AI agents. You will collaborate with Data Scientists, Data Engineers and expert users to build and deploy scalable Agentic AI solutions that drive value and insight from Mi

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. We are looking for experienced EDA/CAD engineer with hands-on AI, ML, or LLM experience who is excited to shape the next generation of AI-assisted workflows for custom memory development. In this role, you will apply your expertise in IC design, layout, verification, simulation, and design automation to identify and deliver high-value solutions that improve engineering productivity, quality, and cycle time. This position offers the opportunity to build on a strong CAD foundation while growing into a broader AI-focused role over time. Responsibilities Design, develop, and deploy software, automation, and AI-assisted solutions that improve IC design workflows across layout, verification, simulation, and tape-out activities Develop and enhance AI-assisted tools, agents, and automation that improve engineering productivity and design team efficiency Collaborate with worldwide design, layout, verification, and CAD teams to identify high-impact use cases for automation and AI enablement Build and maintain CAD tools, workflow integrations, and supporting technical content for design teams Support evaluation, qualification, deployment, and integration of EDA tools and AI-enhanced workflows Explore and apply generative AI and machine learning techniques to practical custom IC design and design enablement challenges Contribute to scalable software development practices, including code quality, testing, maintainability, and documentation Required Qualific

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. Job Summary As a Process Control Systems Engineer, you will integrate and monitor key performance indicators across semiconductor manufacturing Defense Line systems, including SPC, FDC, R2R, and other process control applications. You will identify KPI gaps, coordinate CAPA follow-up, track actions through closure, and provide management-level performance visibility. You will also develop dashboards, retrieve and analyze data using SQL and Snowflake, support data digitalization, and participate in AI-enabled manufacturing and analytics projects. This role requires strong analytical thinking, cross-functional coordination, learning agility, and an interest in semiconductor process control and smart manufacturing. Key Responsibilities Integrate and monitor KPIs across different Defense Line and PCS systems. Identify performance gaps and follow up on corrective and preventive actions. Track action owners, due dates, risks, effectiveness verification, and closure status. Develop dashboards for KPI, system health, issue, and CAPA monitoring. Retrieve, clean, transform, and analyze data using SQL and Snowflake. Support AI, machine learning, and advanced analytics applications. Coordinate with process, manufacturing, quality, automation, IT, and global PCS teams. Participate in PCS integration, digitalization, and management-assigned projects. Maintain technical documents, governance workflows, and audit evidence. Qualificati

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. Job Summary We are seeking a highly motivated Failure Analysis Engineer to join our Product Failure Analysis (PFA) Laboratory. The successful candidate will be responsible for conducting failure analysis, root cause investigations, and advanced package characterization to support product development and yield improvement. This role requires strong analytical skills, hands-on laboratory experience, and the ability to collaborate with cross-functional teams in a fast-paced semiconductor environment. Qualifications Education Bachelor's or Master's degree in: Materials Science & Engineering Electrical Engineering Electronics Engineering Mechanical Engineering Chemical Engineering Physics, Chemistry, or related technical disciplines Experience in one or more of the following areas is preferred: Wafer Fabrication Assembly and Packaging Product Engineering Yield Enhancement Failure Analysis Laboratory Advanced Packaging Technologies Responsibilities Perform electrical and physical failure analysis of semiconductor devices and packages. Conduct root cause investigations and provide technical recommendations. Develop and execute analytical plans to support engineering requests. Interpret analytical results and communicate findings effectively. Collaborate with Process, Product, Quality, Reliability, and Manufacturi

The Team + The Role Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo. As a Senior Customer Engineer you will own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You will lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact will extend beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team. This role is based in our London office. What this looks like day-to-day New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and growth across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops. Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute at least one reusable framework, playbook, or process that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy. Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, y

The Team + The Role Pendo’s Customer Engineering team is the technical backbone of the pre- and post-sales customer motion. The team brings together work across Customer Success, Technical Account Management, and Solutions Engineering into one full-lifecycle technical owner. Customer Engineering helps customers connect technical execution to business outcomes and realize the value of their investment in Pendo. As a Senior Customer Engineer you will own strategic and complex Enterprise accounts across acquisition, implementation, adoption, expansion, and escalation. You will lead technical strategy for complex deployments, resolve ambiguous customer challenges, and partner closely with account teams to drive retention, expansion, and customer value. Your impact will extend beyond your own accounts through playbooks, coaching, repeatable fixes, and workflow improvements that raise the capability of the broader Customer Engineering team. This role is based in our London office. What this looks like day-to-day New customer acquisition and selling: Partner with Account Directors on pre-sales motions for new customer acquisition, product expansion, and growth across lines of business. You identify customer pain, craft and deliver tailored demos, and lead technical evaluations through requirements gathering, success criteria, installation guidance, and hands-on workshops. Quarterly business outcomes: Drive measurable improvement in customer health, retention, expansion, and technical resolution across strategic accounts. You contribute at least one reusable framework, playbook, or process that other Customer Engineers use and become a trusted advisor to Account Directors on account health and technical strategy. Adoption, expansion, and growth: Identify opportunities to expand adoption across underutilized features, untapped products, and new lines of business. When adoption stalls, y

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Our Marketplace is continually evolving to deliver a deeply personalized shopping experience that seamlessly links consumers with merchant partners. By leveraging machine learning alongside rich consumer and merchant data, we aim to simplify and streamline the customer journey around everyday and major purchases with tailored brands, products, deals, and offers. In tandem, we are advancing our Ads Platform which is a key technology that empowers merchant partners to strategically deploy their budgets and reach targeted consumers for maximum incremental impact. What You'll Do With the support of your team’s tech lead and manager, you will break down larger projects into individual tasks, deliver them in multiple phases, and collaborate with others to ensure timely delivery of your work. You will support your peers and stakeholders in the product development lifecycle by collaborating with product management, design & analytics by participating in ideation, articulating technical constraints, and partnering on decisions that properly consider risks and trade-offs. You will support the operations and availability of your team’s artifacts by creating and monitoring metrics, escalating when needed, and supporting “keep the lights on” & on-call efforts. You will contribute to a sense of community on your team by engaging in growth and development activities such as participation in the interview process. What We Look For You have a total of 1.5+ years of experience as a software engineer. You have experience shipping web apps using declarative UI frameworks like React. You have experience designing, developing and launching APIs at scale using languages like Python or Kotlin. You have mastered taking a simple problem or business scenario into a solution that interacts with multiple softwa