Advanced Cmos Device And Process Integration Engineer Jobs

About The Weather Company: The Weather Company is the world’s leading weather provider, helping people and businesses make more informed decisions and take action in the face of weather. Together with advanced technology and AI, The Weather Company’s high-volume weather data, insights, advertising, and media solutions across the open web help people, businesses, and brands around the world prepare for and harness the power of weather in a scalable, privacy-forward way. The world’s most accurate forecaster globally, the company reaches hundreds of enterprise clients and more than 360 million monthly active users via its digital properties from The Weather Channel (weather.com) and Weather Underground (wunderground.com). AI is part of how we work: Human judgment, expertise, and creativity remain essential and are amplified by AI. We expect everyone in this role to use AI thoughtfully and proactively to accelerate their performance, improve the quality of their work, and explore new possibilities. We are looking for people who are curious, adaptable, and excited to help shape an AI-enabled culture that delivers better outcomes for our customers and our company. Job brief: As a Senior Product Design Manager, you will lead a talented team of product designers to create highly engaging, intuitive, and delightful experiences for millions of daily active users. You will sit at the intersection of human-centered design, business strategy, and technological innovation, helping to define the future of our consumer digital portfolio. The impact you'll make: Design Leadership & Strategy Product Strategy: Collaborate with Product Management and Leadership to define the user experience vision and product strategy for core consumer app features. Growth & Engagement: Leverage user empathy, behavioral psychology, and market trends to design features that improve retention, conversion, and user joy. Design Excellence: Champion high craft standards across user flows, interactio

Opportunity Overview: We’re seeking a Senior Clinical Informatician to serve as a key bridge between clinical expertise and data science. In this advanced role, you’ll apply deep clinical reasoning and informatics expertise to design, evaluate, and optimize data-driven healthcare solutions. You’ll also lead ontology mapping, structured data validation, and annotation quality initiatives supporting our next-generation AI and LLM-enabled healthcare tools. This is a remote-first role that may require travel to Boston, MA for new hire onboarding and occasional in-person team meetings and company events. What you’ll do: Collaborate with clinicians, data scientists, and engineers to design and validate digital health and analytics solutions. Translate clinical workflows into structured data and logic for algorithms and quality measurement. Lead efforts in ontology mapping, terminology management (SNOMED, ICD, LOINC, RxNorm), and interoperability standards (FHIR, HL7). Oversee labeling and abstraction to ensure model safety, accuracy, and clinical integrity. Mentor junior informaticians and specialists in annotation, data validation, and workflow improvement. What you’ll need: BSN or related clinical degree with active RN license required. 4–6+ years of experience in clinical informatics, analytics, or digital health. Advanced understanding of clinical data, EHR systems, and data standards. Experience with data modeling or AI-driven healthcare products preferred. Master’s degree or informatics certification (RN-BC, CPHIMS, ACHIP, etc.) a plus. Pay & Perks: 💻 Fully remote opportunity with about 5% travel 🩺 Medical, dental, vision, life, disability insurance, and Employee Assistance Program 📈 401K retirement plan with company match; flexible spending and health savings account 🏝️ Up to 184 hours (23 days) of PTO per year + company holidays 👶 Up to 14 weeks of paid parental leave 🐶 Pet insurance The salary range for this p

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. OVERVIEW The Product Support Engineer II a key member of the support team providing first level assistance to eClinical Solutions’ elluminate® clients. The primary responsibility of this role is to provide support to end-users by identifying, researching, and resolving problems and issues. Communicate directly with customers to gather information, resolve, or escalate issues and manage the support ticket life cycle and has the ability to quickly learn different applications, technologies and apply that knowledge to resolve issues quickly. Throughout the support ticket process, you are responsible for regular updates on ticket status, keeping the customer informed and ensuring customer satisfaction with the support process. KEY TASKS & RESPONSIBILITIES Respond to incoming support tickets and emails in an effective and efficient manner Identify, troubleshoot, and resolve all client problems, questions, and concerns within defined service level agreements (SLAs) Document, track and monitor the client’s problems and issues to ensure a timely resolution Coordinate and manage new software upgrade rollout plans Escalates unresolved problems to Tier 2 technical staff. 24*7 Availability for supporting the clients Train and Mentor, the Product support engineer 1 Provide instruction to users on new product features. Quickly analyze customer problems/issues, walk it through step-by-step resolution procedures, and accurately logs issue details in the issue tracking system. Education Experience: Bachelor’s degree or equivalent work experienc

Use Your Power for Purpose At Pfizer, our purpose is to deliver breakthroughs that transform patients' lives. Central to this mission is our Research and Development team, which strives to convert advanced science and cutting-edge technologies into impactful therapies and vaccines. Whether you are engaged in discovery sciences, ensuring drug safety and efficacy, or supporting clinical trials, your role is crucial. You will leverage innovative design and process development capabilities to expedite the delivery of top-tier medicines to patients globally. Role Summary Pfizer’s Machine Learning and Computational Sciences (MLCS) group is seeking a Senior Machine Learning Scientist to lead independent and collaborative research in computational antibody design and optimization. This position focuses on developing and applying modern computational and machine-learning approaches to accelerate the discovery of next-generation biologic therapeutics. Positioned at the intersection of machine learning, protein science, and therapeutic discovery, the role is ideal for candidates eager to translate foundational AI research into real-world drug design. It offers the opportunity to join an innovative, collaborative environment that supports professional growth through mentorship, knowledge sharing, and the freedom to pursue impactful science. What You Will Achieve In this role, you will: Conduct original research in computational antibody engineering, with an emphasis on sequence- and structure-based generative modeling. Develop and deploy state-of-the-art machine-learning methods for multi-objective, constraint-aware antibody optimization that balances affinity, stability, and developability. Apply proprietary computational frameworks and machine-learning models to predict antibody developability and affinity. Leverage NGS-derived antibody repertoires to info

NVIDIA is at the forefront of the generative AI revolution, building the software and systems that power the world’s most advanced large language model workloads. We are looking for a Software Engineer focused on bring-up, triage, benchmarking, analysis, and optimization of distributed training and inference workloads across NVIDIA GPU platforms at the largest scales we run. In this role you will help bring up, benchmark, and debug distributed LLM workloads on multi-GPU and multi-node deployments, and own the design and implementation of the benchmarking tooling, automation, and debugging workflows that support them. This is a hands-on role for an engineer who enjoys deep technical problems across deep learning systems, GPU performance, distributed computing, and large-scale operations. What you’ll be doing: Bring up, validate, and debug large-scale AI clusters, infrastructure, and end-to-end workloads. Bring up, tune, and benchmark AI pre-training, post-training, and inference workloads using PyTorch, NeMo / Megatron, TensorRT-LLM, and adjacent NVIDIA AI software stacks. Perform root-cause analysis of failures in large distributed environments Contribute to the resilience and failure-attribution tooling that detects, triages, and attributes node, fabric, and workload failures across the cluster. Build and maintain repeatable benchmark suites, automation, acceptance criteria, and qualification workflows on new platforms. Tune runtime settings, communication parameters, and deployment configurations in close partnership with framework, systems, and platform teams. Deliver actionable, data-driven recommendations based on profiling, benchmark results, and cluster characterization. What we ne

Become a part of our caring community The Senior Data & Reporting Professional supports the Michigan Integrated Long-Term Services and Supports (MI LTSS) program through advanced analytics, operational reporting, performance monitoring, regulatory compliance reporting, and strategic data management. You will transform complex clinical, operational, quality, and financial data into actionable insights that support program oversight, state contract compliance, quality improvement initiatives, and executive decision-making. Your work assignments involve moderately complex to complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. You will work independently, exercises considerable latitude in determining objectives and approaches to assignments, and begin to influence departmental strategy. The Senior Data & Reporting Professional partners closely with LTSS Care Management, Utilization Management, Quality, Finance, Compliance, Provider Operations, and Market Leadership to monitor program performance, identify operational opportunities, and support achievement of LTSS program requirements. Develop and maintain operational, clinical, quality, compliance, and executive dashboards supporting the MI LTSS program. Integrate and validate data from multiple systems, including care management platforms, quality monitoring tools, provider networks, claims data, assessment systems, and regulatory reporting sources. Create recurring and ad hoc reports supporting operational performance, regulatory compliance, quality improvement initiatives, and strategic program planning. Monitor LTSS performance indicators including Health Risk Assessments, InterRAI assessments, Nursing Facility Level of Care Determination (NFLOCD) completion, Person-Centered Service Plans, Integrated Care Team (ICT) participation,

1891 Signal Integrity Measurement Engineer Location: Austin About the Role Validate signal integrity (SI) and power integrity (PI) for advanced compute platforms, focusing on hands-on measurement, electrical compliance, troubleshooting, and simulation correlation. Key Responsibilities Develop measurement plans and design of experiments (DOE) for board-to-board, cable, backplane, blade-, and rack-level interconnects. Measure scattering parameters (S-parameters), insertion loss, return loss, impedance, crosstalk, eye diagrams, jitter, timing margins, and bit error rates. Design printed circuit board (PCB) test fixtures; perform calibration, de-embedding, and electrical compliance testing against interface specifications and customer requirements. Correlate measurements with simulations and troubleshoot issues with silicon, package, board, and system teams, interconnect vendors, and original design manufacturers (ODMs). Prepare validation and compliance reports covering methods, pass/fail results, performance margins, findings, and recommendations. Required Qualifications Hands-on expertise with vector network analyzers (VNAs), including performance network analyzers (PNAs); time-domain reflectometers (TDRs); bit error rate testers (BERTs); and high-speed oscilloscopes. Strong SI/PI fundamentals and experience with fixture characterization, repeatable measurements, DOE, and electrical compliance testing. Strong written and verbal communication skills for technical reporting and cross-functional collaboration. Bachelor's or master's degree in Electrical Engineering, Computer Engineering, or a related field. Preferred Qualifications Data center or hyperscale hardware experience; Python or MATLAB for measurement automation and analysis; familiarity with simulation tools and thermal or mechanical effects on SI/PI. Tools / Technologies Peripheral Component Interconnect Express (PCIe) generations 4/5/6, Ethernet, Double Data Rate (DDR) memory, serializer/deseria

Job Title Disease management Solutions Clinical Support Specialist (90% Travel M-F) Job Description Disease management Solutions Clinical Support Specialist (90% Travel M-F) Help healthcare providers maximize the value of Philips Disease Management Solutions by delivering expert clinical training, product education, and implementation support across a highly customer-facing field role. Your role: Deliver hands-on and remote clinical training for Philips Disease Management Solutions products, with primary focus on DynaCAD and UroNav, ensuring customer competency and successful adoption. Serve as a trusted clinical consultant to physicians and technologists, providing education, workflow guidance, and application support that improves customer productivity and outcomes. Partner closely with Sales, Marketing, Service, Customer Support, Quality, Research & Development, and Manufacturing teams to support customer success, product implementations, and new product introductions. Demonstrate product expertise, you will be responsible for product assembly and installation for the UroNAV product as well as troubleshoot software and workflow issues, and help customers optimize their use of advanced imaging and post-processing solutions. Travel extensively (approximately 90%) to customer sites throughout the U.S., working from a home-based office and supporting changing customer locations as business needs require. You're the right fit if: You’ve acquired 5+ years of clinical experience as an MRI Technologist and/or Ultrasound Technologist, with strong knowledge of imaging workflows and patient care environments. Your skills include troubleshooting software, computer, networking, and basic Digital Imaging and Communications in Medicine (DICOM) issues, along with strong teaching, presentation, 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 include, but not limited to: Partner with product owners and business groups across business units and sales. Understand their needs clearly. Turn business problems into scalable, data-driven DS, ML, AI, and GenAI solutions. Implement these solutions in Python and cloud environments. Design, develop, and implement predictive and forecasting models, machine learning models, statistical analysis, and data mining techniques to address business challenges. Design, develop, and deploy optimization and simulation models (e.g., mathematical programming, stochastic simulation, scenario analysis, and what‑if modeling) to evaluate trade‑offs, optimize business decisions, and improve operational and financial outcomes across complex, multi‑constraint problem spaces. Analyze large and complex datasets, identifying trends, patterns, and anomalies to extract valuable and actionable insights. Build and deploy data visualization dashboards and reports to effectively communicate insights to business leaders across different levels. Research and explore new data science techniques, including generative AI and large language models, to enhance business processes and decision-making. Contribute to data governance and infrastructure: Help maintain and improve our data infrastructure, ensuring data quality and integrity. Minimum Qualifications: 2+ years of experience as a Data Scientist, with expertise in using advanced analytics, machine learning, and statisti

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with

About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours. We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential. About the Role The Manager, Talent Development leads the strategy, design, and delivery of enterprise learning programs and Talent Development operations that build employee capabilities and support business priorities. This role translates the broader talent and learning strategy into a prioritized portfolio of scalable programs, experiences, tools, and processes, including employee learning, AI capability building, new-hire orientation and immersion, and learning technology. Working closely with Talent Development, Leader Success, DEI, and cross-functional partners, the Manager identifies learning needs, develops program strategies and roadmaps, and ensures solutions are thoughtfully designed, creatively and efficiently delivered, and continuously improved. The role uses data, employee feedback, and business measures to evaluate effectiveness and demonstrate impact. Responsibilities: Learning & Development Programs and Operations Lead the design, delivery, success measures and continuous improvement of enterprise learning programs that build employee skills and capabilities. Translate organizational learning priorities into actionable program plans, experiences, and resources, including AI capability building and upskilling. Partner with Talent Management, Leader Success, HRIS, Shared Services, DEI, HRBPs, and other business leaders to identify learning needs and deliver coordinated, scalable solutions. Manage cross-functional dependencies, timelines, and communications to ensure successful

About the Team OpenAI, in close collaboration with our capital partners, is embarking on a journey to build the world’s most advanced AI infrastructure ecosystem. The Industrial Compute team is central to this mission, setting the core infra strategy and implementing this vision. From site selection to the buildout process, this team sits at the intersection of commercial, technical, strategy, and operations, interacting with teams and executives inside and outside of OpenAI. About the Role The Clean Energy and New Technology Lead will own infrastructure clean energy and emerging energy technology strategy and execution, identifying and deploying scalable solutions that enable resilient, low-carbon compute and data center growth. The role will work closely with regulatory and policy teams to align infrastructure expansion with OpenAI’s long-term environmental and operational objectives. This is an individual contributor lead role and does not have direct reports initially. The role will evaluate where emerging energy technologies can materially improve reliability, cost, carbon, speed, or resilience; translate those options into practical deployment pathways; and help ensure OpenAI’s infrastructure growth remains aligned with sustainability considerations. Key Responsibilities Evaluate emerging energy solutions such as clean firm power, advanced storage, grid flexibility, low-carbon backup power, heat reuse, water-related energy efficiency, and other scalable technologies where relevant. Identify pilot opportunities and deployment pathways that can move promising energy technologies from concept to commercially and operationally credible execution. Translate technical options into clear reliability, cost, schedule, carbon, regulatory, and operational implications for infrastructure decision-making. Partner with energy regulatory, policy, procurement, engineering, deployment, finance, legal, and site-readiness teams to align technology and sustainability choices with

Senior Java Software Engineer – Developer Company: The Boeing Company The Boeing Company is looking for a Senior Java Software Engineer – Developer to join the Advanced Ground Architecture team located in Herndon, Virginia, Seal Beach, California, El Segundo, California or Colorado Springs, Colorado . This position will focus on supporting the Boeing Defense, Space & Security (BDS) Software Engineering organization. The Advanced Ground Architecture (AGA) software team is dynamic group of software engineers creating the future of Ground support with the extensibility and adaptability to be used across ALL Boeing programs. The software team is executing this vision through modern software technologies (Java, ReactJS, python, CI/CD pipelines) and methodologies (Scaled Agile). AGA is looking for self-motivated high performers to lead and execute the large scope of Java development needed for the program's vision. The ideal candidates will provide software engineering functions for the design, development, and maintenance of complex, multi-tiered application software systems used to support the command and control of space vehicles. The software engineers will work day-to-day with system and test engineers to implement, test, and document new features and improvements for both web services and applications supporting distributed computing solutions. Position Responsibilities: Develops software in conjunction with agile team leadership including participation at agile events Assists in the execution of DevSecOps processes to deliver software baseline on sprint boundaries. Participates in PI planning as an agile team member Engages with users and other engineers

Job Details: Job Description: As a Module Equipment Technician, you will play a vital role in ensuring the smooth operation of advanced manufacturing equipment used in semiconductor production. You will perform hands-on troubleshooting, maintenance, and calibration of electromechanical systems while supporting experiments and equipment modifications that drive cutting-edge advancements. Your work will directly contribute to enhancing equipment reliability and optimizing production efficiency, making an essential impact on Intel's manufacturing operations. Business Group Join Intel's Advanced Packaging Technology Development - Substrate and Wafer Assembly (ATPD: SWA) organization, a leader in delivering innovative and cost-effective substrate packaging solutions. This business group is focused on advancing Intel's capabilities in manufacturing technology to maintain competitive excellence across global markets. As part of this dynamic team, you will support critical equipment and collaborate on continuous improvement initiatives that align with Intel's broader mission of innovation and growth. Key Responsibilities Perform electrical and mechanical troubleshooting to diagnose issues with manufacturing equipment. Execute setup, calibration, corrective and preventative maintenance on production equipment, including wet chemistry, plating, and dry high-vacuum toolsets. Monitor tool performance and analyze data to identify and address equipment-related issues. Collaborate with engineering and support teams to improve equipment reliability and reduce downtime. Document maintenance activities, repair findings, and parts usage using established systems and procedures. Lead or contribute to continuous improvement projects, focusing on equipment optimization and yie

About Glean: Glean is the Work AI platform that helps everyone work smarter with AI. What began as the industry’s most advanced enterprise search has evolved into a full-scale Work AI ecosystem, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform. With over 100 enterprise SaaS connectors, flexible LLM choice, and robust APIs, Glean gives organizations the infrastructure to govern, scale, and customize AI across their entire business - without vendor lock-in or costly implementation cycles. At its core, Glean is redefining how enterprises find, use, and act on knowledge. Its Enterprise Graph and Personal Knowledge Graph map the relationships between people, content, and activity, delivering deeply personalized, context-aware responses for every employee. This foundation powers Glean’s agentic capabilities - AI agents that automate real work across teams by accessing the industry’s broadest range of data: enterprise and world, structured and unstructured, historical and real-time. The result: measurable business impact through faster onboarding, hours of productivity gained each week, and smarter, safer decisions at every level. Recognized by Fast Company as one of the World’s Most Innovative Companies (Top 10, 2025), by CNBC’s Disruptor 50, Bloomberg’s AI Startups to Watch (2026), Forbes AI 50, and Gartner’s Tech Innovators in Agentic AI, Glean continues to accelerate its global impact. With customers across 50+ industries and 1,000+ employees in more than 25 countries, we’re helping the world’s largest organizations make every employee AI-fluent, and turning the superintelligent enterprise from concept into reality. If you’re excited to shape how the world works, you’ll help build systems used daily across Microsoft Teams, Zoom, ServiceNow, Zendesk, GitHub, and many more. You'll be deeply embedded where people get things done. You'll ship agentic capabilities on an open, extensible stack, with