Utilization Management Nurse 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 Modeling Industrial Engineer, you will be responsible for 1. Capacity Model Optimization with AI enablement (Copilot / Claude and Etc): 1)Ensure accurate capacity model through periodic audits and validation of workstation performance, capital asset utilization (CAU), and cycle time using static and dynamic models. 2. Responsibilities and Tasks : 1)Ensure tool capacity is well positioned to meet output requirements at the manufacturing area levels. 2)Review capacity modeling accuracy and make sure without any surprise after IE bottom-up estimation. 3)Develop tool productivity algorithm by tool motion study and CEID data analysis. 4)Understand the impact to the driven by output changes through scenario analysis. 5)Work closely with APTD, PDE and APE to analyze "Plan-to-Actual performance" by using statistical methodology and propose the mitigation plan to close the gap. 6)Work with engineering team and partner with ATCP(Assembly Test Central Planning) to understand and close the gaps by workstation performance to meet external benchmark levels. 7)Understand individual area’s Entitled Cycle Time (ECT) for a given scenarios. 3. CIP Project with AI enablement (Copilot / Claude and Etc) : Lead the continuously improvement project to optimize the workflow as well as capacity management with AI proficiency or AI‑enabled ways of working where applicable ( Leveraging Ar

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. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk mitigation

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. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk mitigation

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. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk

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. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk mitigation

firsthand supports individuals living with SMI (serious mental illness). Our holistic approach includes a team of peer recovery specialists, benefits specialists and clinicians. Our teams focus on meeting each individual where they are and walking with them side by side as a trusted guide and partner on their journey to better health. firsthand's team members use their lived experience to build trust with these individuals and support them in reconnecting to the healthcare they need, while minimizing inappropriate healthcare utilization. Together with our health plan partners, we are changing the way our society supports those most impacted by SMI. We are cultivating a team of deeply passionate problem-solvers to tackle significant and complex healthcare challenges with us. This is more than a job—it's a calling. Every day, you will engage in work that resonates with purpose, gain wisdom from motivated colleagues, and thrive in an environment that celebrates continuous learning, creativity, and fun. We named our company firsthand because we believe that lived, or “firsthand,” experience is invaluable for gaining trust and building meaningful relationships. While we are listing this role externally as Peer Recovery Specialist—a widely recognized term—internally we refer to this important role as firsthand Guide (fG), or a Core Guide. In our peer-led model, fGs play a critical role in outreach and engagement, supporting individuals living with SMI to achieve and maintain both behavioral and physical wellness. Trust is at the heart of everything we do, and fGs are uniquely empowered to connect with people who have disengaged from—or never accessed—the services and supports that can improve their quality of life. This role carries the expertise of a Peer Recovery Specialist, but with our distinctive approach and mission woven into every interaction. The Core Guide partners closely with other members of the firsthand Care Team to drive whole health w

About the Team DoorDash’s GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalization to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at DoorDash, with a primary focus on our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll work across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability. This role is ideal for an engineer who enjoys pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, and cost/performance tradeoffs are evolving quickly. You’re excited about this opportunity because you will… Build the infrastructure that helps DoorDash teams move GenAI ideas from prototype to production, increasing the velocity of business impact from AI across the company. Work on our open-weights serving stack — real-time GPU endpoints, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) — alongside the LLM Gateway, Agent Gateway, evals infrastructure, guardrai

About the Team OpenAI’s Real Estate & Workplace (REW) team creates and operates the spaces that support our people and our mission. Within REW, the Strategic Occupancy Planning team connects business needs, workplace strategy, and space data to help shape where and how our teams work. We partner closely with business leaders, Finance, People, Workplace Operations, and Design & Construction to anticipate growth, optimize space utilization, and deliver a thoughtful, scalable workplace experience. About the Role We’re looking for an experienced Occupancy Planning & Workplace Strategy Manager to lead strategic space planning for our Go-to-Market (GTM) and General & Administrative (G&A) organizations. In this role, you’ll translate evolving business needs into actionable occupancy strategies, capacity scenarios, and workplace recommendations. You’ll serve as a trusted partner to business leaders, balancing growth projections, operational requirements, and employee experience to inform decisions about how our teams use space. You’ll own planning across a complex, evolving portfolio while leveraging CAFM/IWMS systems and data analytics to drive accurate, scalable decision-making. This role requires a combination of strategic thinking, hands-on technical expertise, and strong cross-functional partnership to turn planning recommendations into operational outcomes. This role is based in San Francisco. We use a hybrid work model of three days in the office per week, with approximately 10–20% travel. In This Role, You Will Own strategic occupancy planning for GTM and G&A organizations, translating headcount forecasts, business priorities, and workplace needs into actionable space plans. Develop and evaluate capacity scenarios, neighborhood strategies, team adjacencies, seating models, and space allocation recommendations to support organizational growth. Partner with business leaders and executive stakeholders to understand evolving requirements, communi

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The 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. Job Description Responsibilities: As part of the manufacturing team, you will be - Responsible for analyzing machines utilization, improving and ensuring quality output. Maintain overall production efficiencies of assigned workstations Support a safe work environment by following safety procedures and promptly reporting identified hazards. Work alongside Equipment engineers to strengthen and maintain equipment availability to meet stringent product requirements. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​ Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. Integrates AI-assisted tools and insights into daily work to improve efficiency, quality, or effectiveness, exercising sound judgment and complying with organizational standards and legal requirements.​ Contributes to a culture of continuous improvement by identifying, testing, and sharing AI-enabled enhancements within one’s scope of work. Requirements: A relevant Nitec/Higher Ni

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. Senior Software Engineer, GenAI Platform About the Team Deliveroo's GenAI Platform team sits within Machine Learning Platform and builds the shared infrastructure that helps DoorDash, Wolt, and Deliveroo teams safely bring GenAI-powered products, agents, automation, and personalisation to production. Our mission is to increase the velocity of business impact from GenAI. A central pillar of that work is running frontier open-weight LLMs and VLMs (such as GLM, Qwen, Kimi, and DeepSeek) ourselves — real-time GPU serving, high-throughput batch inference, and fine-tuning on autoscaling GPUs — delivering large cost and latency wins (for example, a billion embeddings produced roughly 20× cheaper and visual models served roughly 72% cheaper). We also own core platform surfaces including the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution. About the Role You will join a small, high-leverage team building production infrastructure for Generative AI at Deliveroo and DoorDash, leading the design and architecture of our open-weights model platform spanning inference and fine-tuning: real-time GPU serving, high-throughput batch inference, and model fine-tuning. You’ll set technical direction across model serving and inference engines, fine-tuning and training pipelines, GPU autoscaling and utilization, batch pipelines, backend services, and observability, and mentor engineers as you go. This role is ideal for a senior engineer who enjoys owning ambiguous, high-impact systems and pushing the cost/performance frontier of GPU inference and fine-tuning in a fast-moving technical area where product needs, model capabilities, vendor ecosystems, a

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. Responsibilities and Tasks: Evaluate and Improve Assigned Assembly Manufacturing Processes, Materials, and/or Equipment. Maintain Equipment knowledge as it relates to the process. Improve utilization/capacity/cost by machine upgrade, procedure optimization, or material selection. Optimize and identify equipment variables. Understand DOE/FMEA/OCAP/8D/SPC/Repair/PM (preventive) techniques Perform containment/prevention actions of process and equipment deviations Prepare and update equipment operation manuals, maintenance logs, and incident reports. Support the introduction of new equipment and technologies, including validation and evaluation. Design equipment components (Improve equipment capability by exploring new ideas/concepts and implement on equipment) Coordinate with vendors for equipment upgrades, repairs, and technical support. Conduct regular equipment performance analysis and propose improvements by using and applying AI. Locate and research technical information on equipment, materials, and/or processes in journals, literature, web, etc. Requirements Bachelor’s degree or above in Electrical, Mechanical, Materials, Electronics Engineering, or related fields. Familiarity with semiconductor equipment operation and maintenance procedures and work experience: 3 years above Strong analytical and problem-solving skills. Good teamwork and communicatio

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. Responsibilities and Tasks: Evaluate and Improve Assigned Assembly Manufacturing Processes, Materials, and/or Equipment. Maintain Equipment knowledge as it relates to the process. Improve utilization/capacity/cost by machine upgrade, procedure optimization, or material selection. Optimize and identify equipment variables. Understand DOE/FMEA/OCAP/8D/SPC/Repair/PM (preventive) techniques Perform containment/prevention actions of process and equipment deviations Prepare and update equipment operation manuals, maintenance logs, and incident reports. Support the introduction of new equipment and technologies, including validation and evaluation. Design equipment components (Improve equipment capability by exploring new ideas/concepts and implement on equipment) Coordinate with vendors for equipment upgrades, repairs, and technical support. Conduct regular equipment performance analysis and propose improvements by using and applyin

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. Responsibilities and Tasks: Evaluate and Improve Assigned Assembly Manufacturing Processes, Materials, and/or Equipment. Maintain Equipment knowledge as it relates to the process. Improve utilization/capacity/cost by machine upgrade, procedure optimization, or material selection. Optimize and identify equipment variables. Understand DOE/FMEA/OCAP/8D/SPC/Repair/PM (preventive) techniques Perform containment/prevention actions of process and equipment deviations Prepare and update equipment operation manuals, maintenance logs, and incident reports. Support the introduction of new equipment and technologies, including validation and evaluation. Design equipment components (Improve equipment capability by exploring new ideas/concepts and implement on equipment) Coordinate with vendors for equipment upgrades, repairs, and technical support. Conduct regular equipment performance analysis and propose improvements by using and applying AI. Locate and research technical information on equipment, materials, and/or processes in journals, literature, web, etc. Requirements Bachelor’s degree or above in Electrical, Mechanical, Materials, Electronics Engineering, or related fields. Familiarity with semiconductor equipment operation and maintenance procedures and work experience: 3 years above Strong analytical and problem-solving skills. Good teamwork and communicatio

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The 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. Project Title Photolithography Equipment Digital Twin and Throughput Optimization Using Advanced Data Analytics Project Description Develop a data-driven digital twin framework for photolithography manufacturing equipment to model tool behavior, identify productivity constraints, and evaluate optimization opportunities. The project will leverage equipment performance, process, and manufacturing datasets to create predictive simulations that improve understanding of tool utilization, cycle time drivers, and throughput performance. The project will provide exposure to advanced manufacturing analytics, simulation modeling, machine learning techniques, and data visualization applications commonly used in semiconductor manufacturing. Objective of the Project The objective of the project is to develop an analytical framework for modeling photolithography equipment behavior, evaluating productivity constraints, and identifying data-driven opportunities to improve equipment utilization, cycle time, and throughput performance. Opportunities for Full Time Employment The intern may be considered for relevant full-time employment opportunities based on business needs, position availability, and demonstrated suitability during the internship.

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. • Leverage AI-enabled and AI-assisted work methods, including Microsoft Copilot, Generative AI, and advanced analytics tools, to improve equipment utilization, yield performance, alarm code analysis, parts lifetime prediction, and manufacturing efficiency. • Utilize AI-powered data analysis to identify equipment performance gaps, predict equipment failures, optimize preventive maintenance strategies, and reduce unplanned downtime. • Apply AI-assisted troubleshooting techniques to accelerate root cause analysis of equipment alarms, process excursions, and yield loss mechanisms. • Familiar with TCB/DB process and possesses a minimum of 5 years of semiconductor equipment engineering experience. • Identify, diagnose, and resolve assembly equipment related issues utilizing data-driven and AI-supported methodologies. • Coordinate and execute process, equipment, and material evaluations, leveraging AI insights to optimize manufacturing performance and quality. • Lead and participate in utilization improvement, yield enhancement, cost reduction, and smart manufacturing initiatives through automation and AI technologies. • Validate and qualify new processes, equipment, materials, and manufacturing technologies for NPI deployment. • Support FDC/RMS/APC/SPC systems and utilize AI-driven analytics to identify trends, abnormalities, and improvement opportunities. • Drive site-to-site best practice transfer and digital transformation initiatives. • Manage supplier quality and risk