Methodology 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. Responsibilities and Tasks: Global Standardization and BKM (Best Known Methods) Governance: Lead the development, standardization, benchmarking, and continuous improvement of FE ME operation/equipment metrics, capacity readiness processes, business processes, and BKMs across all sites. Govern Fab Manufacturing Engineering operational ground rules and ensure consistent alignment of methodologies, metrics, and best practices globally. Act as a global/area technical SME to optimize area operations, systems integration, and digital ecosystem adoption, driving global standardization and systemization of BKMs into long‑term ME blueprints. Facilitate WW ME forums, area network meetings, and sustain/audit existing global BKMs and business processes. Analyze line performance, equipment utilization, OEE, workstation/block WPD, and capacity readiness using Theory of Constraints and Lean Manufacturing. Proactively drive area efficiency improvement by deep‑diving into root causes of equipment availability losses, operating losses, and baseline capability gaps—partnering with Site Manufacturing, Process, Equipment, and SIC teams. Forecast potential roadblocks in constraint workstation management and work with Site Manufacturing Managers to create mitigation plans. Lead proof‑of‑concepts and deployment of automation solutions, scheduling enhancements, BKM dashboards, and digital reporting to improve fab productivity. </li

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. About the Role We are looking for a passionate and innovative ATE Test Engineer to design and deliver cutting-edge test solutions for HBM-DRAM devices using modern advanced ATE platforms. In this role, you will lead the development and implementation of test plans, ATE test programs, silicon validation, and test methodologies, while driving multi-site hardware design and development, product characterization, and high-volume production support. Success in this position requires a forward-thinking mindset and the ability to apply the right technologies to meet evolving challenges. Key Responsibilities Develop and implement robust test strategies, plans, and ATE programs for HBM-DRAM devices. Drive silicon validation, characterization, and yield improvement initiatives. Design and debug test hardware, including schematic capture and PCB layout. Collaborate cross-functionally to ensure seamless integration of test solutions into production. Support high-volume manufacturing and troubleshoot complex test issues. Qualifications & Skills Education: Bachelor’s or Master’s degree in Electrical, Electronics or Computer Engineering. Experience: A

Overview: The role is responsible for managing and supporting the operations of Global Network Engineering in a hybrid/cloud environment and provides senior-level expertise to the network engineering team. We're looking for an expert in on-premises networking, cloud infrastructure networking (Azure/AWS), and telecommunications (VOIP) in global environments, with knowledge and focus on zero-trust networking methodologies. This position requires off-hours on-call availability. This is a remote position with a 3 PM - 12 AM Shift. Candidates may need to visit the Mumbai office as and when needed in the general shift. What You'll Do: Manage physical network management and support covering Guidepoint offices, including, but not limited to, firewalls, routers, switches, etc. Responsible for managing the Enterprise WiFi Operations ZScaler Network management Monitor global traffic latency, issues, and application performance Update and design next-generation network models Network detection and response Intrusion detection and prevention technologies Azure Cloud Traffic integrating with On-prem traffic Azure Web Security CASB models and methodologies What You Have: 8+ years of experience with core networking in an enterprise environment, ideally global network design and security methodologies. 5+ years of working experience with advanced Azure cloud networking technologies. Must have substantial experience with managing WiFi Operations. CCNP Certified or equivalent experience 3+ years of hands-on experience, preferably with Sonic-wall/Netgear. Solid engineering knowledge of routing, switching (VLANs), Azure networking, firewalls, and traffic management. Update network security based on VNETs and Subnets, with traffic monitoring, etc. Knowledgeable in Azure Application Gateways, Front Door, and other security tools. Nice to have: Must know telecommunication technologies (VOIP, SIP Trunking, Microsoft Teams) Network security experience (vulnerability manage

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. We are seeking highly motivated, enthusiastic individuals to join the NAND Central Engineering-Product Yield Enhancement (PYE) Engineering Team . As CE PYE Failure Analysis (FA) Engineer for Micron Technology, Inc., you will be responsible for providing full fault isolation and failure analysis support for qualifications, new device introduction, and test failures. You will apply relevant methodologies to isolate electrical failures in close collaboration with Product Engineering Teams. A strong understanding of product architecture, process flow, and test sequences is essential, as you will work with Process Integration, Product, Test, and Quality Reliability Assurance Engineering groups to ensure physical defects are accurately identified and classified. RESPONSIBILITIES: Perform sophisticated electrical device characterization to determine electrical failure mechanisms. Operate fault isolation equipment, including nProbing, to localize electrical defects, support physical failure analysis, root‑cause determination, debug device failures, improve turnaround time, and drive corrective actions. Conduct physical failure analysis to identify and classify physical defects. Establish and hypothesize potenti

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. Design and conduct laboratory experiments for SI and PI characterization of Micron components (wafer-, package-, and board-level), providing feedback and guidance to simulation and design teams Provide EMI/EMC measurements, analysis, and mitigation guidance for Micron products and customer systems Improvement and development of internal measurement platforms and methodologies Communicate technical insights to application engineers, designers, other team members, and Micron customers Provide guidance on EMC procedures, techniques, and analysis to Micron Global Quality team members performing compliance measurements Use circuit and electromagnetic simulation tools for analysis and post processing Minimum Qualifications: · BS in EE or similar field with at least 3 years of relevant experience · Strong background in one or more areas of signal integrity, power integrity, EMI/EMC, RF engineering, antenna design, or other fields within applied electromagnetics · Experience with measurements utilizing spectrum analyzers, network analyzers, Time Domain Reflectometer (TDR), near field probes, RF wafer probes, TEM/GTEM cells, and anechoic chambers Preferred Qualifications: · Experience with programming (e.g. Python, Matlab) and scripting lan

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We are seeking a Technical Lead to lead deployment and operations for OpenAI’s Silicon & Systems team. This person will become the Directly-Responsible Individual responsible for bringing OpenAI’s custom silicon and associated systems into data center environments, ensuring successful deployment, bring-up, validation, operational readiness, and ongoing reliability at scale. This role sits at the intersection of silicon, systems, infrastructure, data center operations, and software. You will lead a team focused on taking new hardware platforms from lab validation into production data center deployment. You will be responsible for building the operational processes, technical workflows, tooling, and cross-functional alignment required to deploy and operate custom AI hardware reliably in OpenAI’s supercomputing infrastructure. The ideal candidate is both a strong leader and a deeply technical operator. You should be comfortable staying close to the technical details of hardware bring-up, fleet deployment, debugging, system validation, data center integration, and production operations. This role requires strong execution, excellent cross-functional judgment, and the ability to drive clarity in ambiguous, fast-moving environments. In this role, you will: Lead a team responsible for deployment and operations of OpenAI’s custom silicon and systems in data center environments Own the path from hardware bring-up and validation through production deployment, operati

A Career with Point72’s Technology Team As Point72 reimagines the future of investing, our Technology team is constantly evolving our firm’s IT infrastructure and engineering capabilities, positioning us at the forefront of a rapidly evolving technology landscape. We’re a team of experts who experiment and work to discover new ways to harness open-source solutions, modern cloud architectures, and sophisticated Artificial Intelligence (AI) solutions, while embracing enterprise agile methodologies. Our commitment to building and innovating in the AI space provides the framework intended to drive smarter decision making and enhance how we build and operate our platforms and applications. As a member of Point72’s Technology team, we encourage and support your professional development from day one—helping you advance your technical skills, contribute innovative ideas, and satisfy your own intellectual curiosity—all while delivering real business impact for our multi-billion-dollar global business. What you’ll do Build software applications and deliver software enhancements and projects supporting fund accounting and trade processing technology. Work closely with business stakeholders to develop software solutions using test-driven and agile software development methodologies. Be responsible for system upgrades and features supporting resiliency and capacity improvements, automation and controls, and integration with internal and external vendors and services. Driving architecture of core platforms and accelerating modernizing leveraging AI tools. Work with DevOps teams to manage and resolve operational issues and leverage CI/CD platforms while following DevOps practices within the team and projects. Continuously improve the platforms using the latest technologies and software development ideas. Participate in initiatives to transition select applications to cloud platforms, enhancing stability, scalability and performance of the existing platform. Develop close wo

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 DRAM Architect, you will optimize DRAM solutions for power, performance, and cost while pioneering new memory features and system-level innovations. You will collaborate with global, multi-functional teams to deliver high-quality, reliable, and power-efficient DRAM solutions that meet aggressive performance and time-to-market goals. Responsibilities: Develop comprehensive DRAM system/component solutions, specifications, and methodologies to optimize DRAM performance, power efficiency, and cost. Collaborate with multi-functional teams to brainstorm and implement innovative ideas, assess solution efficiency, and make necessary adjustments. Drive innovation in future memory generations within a dynamic work environment. Analyze system behavior and assess solution effectiveness, make data-driven optimizations and trade-offs. Communicate complex technical concepts to engineers from various backgrounds. Minimum Qualifications: 3&#43; years of proven experience in memory design, product engineering, or system architecture and usage Self-motivated with exceptional problem-solving skills and a drive to discover new solutions. Excellent communication and interpersonal skills. Bachelor’s degree or equivalent experience in Electrical Engineering, Computer Engineering, or a related field. <

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 Product Owner at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization. The team defines, drives, and delivers end-to-end smart manufacturing solutions, integrated across functions of the business. The team applies industry-leading methodologies in automation, artificial intelligence (AI) , and generative AI (GenAI) to enhance Micron’s product development, business, and administrative processes across the company. Responsibilities and Tasks Work with users to capture and analyze information related to the adoption of apps for Smart Manufacturing. Identify gaps, weaknesses, and inefficiencies in current solutions, including opportunities for AI-driven enhancements. Define business solutions and propose projects for implementation, leveraging AI and GenAI technologies where applicable. Lead projects and activities requiring coordination, support, and management of resources from global teams. Use metrics and performance data to identify opportunities for improvement, including predictive analytics and intelligent decision support. Provide domain and system expertise; collaborate with data scientists to perform data analysis and identify opportunities on early technology development and yield ramp challenges using AI/ML models. Main initial focus of this position will be to support TD DRAM needs, which includes: 1) Deployment and drive ad

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. About the Role We're seeking a System Software Engineer to join our First-Party Hardware team. In this role, you will design, build, integrate, and validate low-level system software for the manageability and health of OpenAI's first-party AI hardware systems. You will work across BMC, Linux, firmware interfaces, automation infra, boot and recovery, hardware diagnostics, telemetry, host and platform drivers, network software interfaces, and manufacturing and fleet readiness. A major part of this role is owning the acceptance path for partner-delivered system software: defining requirements, reviewing code and artifacts, reproducing builds, building tests, pushing fixes, and producing the evidence needed for launch decisions. This role is hands-on and high-ownership. You will write and review low-level software, debug issues across hardware and software boundaries, build infra and automation to test and manage devices in lab, guide partner deliverables, build validation evidence, and help carry platforms from bring-up through production deployment. Location: San Francisco, CA (Hybrid: 3 days/week onsite) Relocation assistance available. In this role, you will: Design, develop, and maintain low-level firmware and system software for first-party AI hardware manageability, including BMC software, Redfish services, gNMI telemetry, firmware update and recovery flows, BIOS/UEFI interactions, platform drivers, and hardware diagnostics. Own integration and acceptance of partner and ve

About the Team OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform. Role summary We are seeking a Networking Operating System Firmware Engineer to help bootstrap and scale the switching layer of our AI supercomputers. In this role, you will build and maintain custom NOS images from scratch, using open source components from SONiC, SAI, FRR, and related networking stacks while working across the Linux kernel, switch ASIC SAI/SDKs, platform drivers, control-plane services, and orchestration layers. This is a software engineering role that requires a deep understanding of networking, NOS internals, switch hardware, and production systems. You will design, implement, test, and debug production NOS software across platform drivers, routing and control-plane state, ASIC programming, observability, and fleet integration. The engineer in this role should be able to work through ambiguous, open-ended technical problems and drive feature development across software, hardware, and vendor boundaries. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In this role, you will Design, develop, and maintain custom NOS images for large-scale AI fabrics, using open source components from SONiC, FRR, and related networking stacks. Integrate, build and configure Linux kernel components, device drivers, switch ASIC SDKs, and SAI layers. Bring up new switch platforms, including thermal and fan control, power monitoring, transceiver management, watchdogs, OSFP CMIS, L

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 As a Senior/Staff Product Quality and Reliability Assurance Engineer (PQRA), you will support reliability qualification and quality monitoring of High Bandwidth Memory products (HBM), help develop product reliability methodologies, and respond to product deviations as they pertain to quality and reliability. You will establish and implement requirements, specifications and metrics such as Defects per Million (DPM), Failure in Time (FIT), and Lifetime. In this role, you will work with multi-functional Engineering teams to ensure product reliability methods are established and followed, perform risk assessments, and provide support for manufacturing teams regarding reliability issues. In this dynamic role, you will have opportunities to gain new product knowledge on an ongoing basis! You will: Conduct New Product Qualifications Define High Bandwidth Memory (HBM) qualification requirements Comprehend failures and failure rate within the scope of the qualification Perform risk assessment at all decision points within the qualification cycle Review qualification data and sign off that qualification requirements have been met Issue internal product release notifications for Qualification <

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 As a Senior/Staff Product Quality and Reliability Assurance Engineer (PQRA), you will support reliability qualification and quality monitoring of High Bandwidth Memory products (HBM), help develop product reliability methodologies, and respond to product deviations as they pertain to quality and reliability. You will establish and implement requirements, specifications and metrics such as Defects per Million (DPM), Failure in Time (FIT), and Lifetime. In this role, you will work with multi-functional Engineering teams to ensure product reliability methods are established and followed, perform risk assessments, and provide support for manufacturing teams regarding reliability issues. In this dynamic role, you will have opportunities to gain new product knowledge on an ongoing basis! You will: Conduct New Product Qualifications Define High Bandwidth Memory (HBM) qualification requirements Comprehend failures and failure rate within the scope of the qualification Perform risk assessment at all decision points within the qualification cycle Review qualification data and sign off that qualification requirements have been met Issue internal product release notifications for Qualification <

Title: Senior AI QA Engineer Location: Bengaluru (Bangalore) Opportunity: As a Senior AI QA Engineer for our Precision Patient Care Pipeline , you will go beyond traditional functional testing. You will be responsible for building the framework that ensures our clinical insights are accurate, safe, and reliable. This role requires a unique blend of high-level software testing and data engineering to validate complex, non-deterministic medical outputs using a hybrid of automated grading methodologies . Key Responsibilities: Architect Multi-Layered Validation Frameworks: Design and implement structured testing strategies that combine deterministic checks, semantic similarity metrics, and model-based evaluations. Automated Model Grading: Develop systems to evaluate clinical pipeline outputs for faithfulness, safety, and hallucination detection using various automated scoring techniques (e.g., BERTScore, ROUGE, or custom heuristics). Vibe-Driven Development: Leverage agentic AI tools to rapidly prototype complex test harnesses, "red-team" clinical logic, and build internal validation utilities at high velocity. Data Pipeline Integrity: Execute integration and regression tests for data-heavy backend processes, ensuring medical data remains consistent from ingestion to insight generation. Collaborative Strategy: Work closely with Data Scientists and Product Managers to define "Ground Truth" datasets and clinical evaluation rubrics. Root Cause Analysis: Deep-dive into complex system failures to identify whether issues stem from code logic, data drift, or model behavior. Requirements: 6+ years of technical experience in Quality Assurance, with a strong focus on system architecture and backend data validation. Advanced Python Proficiency: Expert-level skills in Python for building custom test scripts and working within AI/ML ecosystems. AI/ML Validation Experience: Proven experience testing model outputs using diverse metrics (e.g., Semantic Similarity, NLP metrics, an

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 Product Owner within SMAI, you will play an important role on t he team that defines, drives, and delivers end-to-end smart manufacturing solutions, integrated across functions of the business. The team applies industry-leading methodologies in automation, artificial intelligence (AI), and generative AI (GenAI) to enhance Micron’s product development, business, and administrative processes across the company. This role offers a rare opportunity to help build and shape a growing Smart Manufacturing and AI team that is directly supporting the growth of Micron’s domestic manufacturing footprint in Boise. As a Senior / Staff Product Owner, you’ll play a foundational role in defining how AI and GenAI are embedded into early technology development and yield ramp , driving real , measurable impact on factory performance. You’ll work at the intersection of manufacturing, data science, and product strategy , pa