• Develop and maintain SAP HANA XSA applications and data models. • Design optimized Calculation Views and SQLScript procedures for reporting.

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. The Fab Engineering team supports semiconductor manufacturing by driving process performance, product quality, and operational efficiency. The team partners closely with equipment, quality, and production organizations to enable stable processes, improve yield, and deliver consistent manufacturing outcomes. Join us and make a change! As Principal Engineer for Region E in Central Teams Advanced Development Team, you will own and sustain semiconductor manufacturing integration and processes within the fab. You will solve process and flow issues, analyze performance data, and implement solutions that improve yield, quality, and cycle time. This role plays a direct part in enabling high-volume manufacturing through structured problem solving and multi-functional execution. Responsibilities: - Own process performance and drive improvements in yield, quality, and cycle time - Troubleshoot manufacturing issues using structured methodologies (e.g., root cause analysis, FMEA, SPC, 8D) - Analyze process data to identify trends, gaps, and improvement opportunities - Define, monitor, and adjust process parameters across semiconductor manufacturing equipment - Partner with cross-functional teams to resolve process excursions and implement corrective actions - Support qualification and integration of new equipment, materials, and process changes - Drive initiatives focused on yield improvement, cost reduction, and productivity - Perform defect analysis and long-term investigations to improve process stability and reliability Minimum Qualifications: - Bachelor's degree in Engineering or a related technical field - 5+ years of experience in semiconductor manufacturing or process engineering - Experience resolving manufacturing process issues using root cause analysis - Working knowledge of statistical and process control systems (SPC, FDC, APC, or similar) - Ability to collaborate across engineering and production teams to solve complex problems Preferred Qualifications: - Master's degree or PhD in Engineering or a related field - Experience in Region E module or similar semiconductor process areas - Experience driving yield improvement and process optimization efforts - Strong analytical and data interpretation skills - Ability to communicate technical information clearly and lead initiatives to completion About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_japan@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

• Support our team with a mix of business, cloud, and research tasks • Researching companies, industries, and potential customers in India • Understanding basic cloud, infrastructure, and technology use cases • Preparing simple reports, summaries, and opportunity notes • Supporting business outreach and lead research • Comparing cloud services, pricing, competitors, and market trends • Using ChatGPT and online tools to research, summarize, and organize information • Helping the team with day-to-day coordination, documentation, and follow-ups • Learning how cloud products are positioned for business customers

Role Description We are looking for a Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving. We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. In this role, you’ll spearhead high-impact initiatives: - Designing multi-cloud setups to maximize GPU availability - Driving deep-level model optimization - Building next-generation Agentic AI toolings You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient, and highly efficient. What You’ll Be Doing - Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity. - Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions. - System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP) and data pipelines. Focus on resolving system-level bottlenecks—such as data loading (I/O), memory management, and network communication overhead—to maximize GPU utilization and training throughput. - Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development. Qualifications - BS or MS in Computer Science or related field - Strong knowledge of software engineering principles and distributed systems - Strong proficiency with Python or Go or C++ - Experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes - Experience with the various stages of the ML development lifecycle Bonus Points - Hands-on experience with ML model profiling and performance optimization for distributed training - Experience managing or working with high-performance compute resources (GPUs) - Experience with ML frameworks such as PyTorch or Ray - Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools Benefits - Medical, dental, and vision insurance - 401k with a company match - Health saving accounts - Life insurance - Pet insurance - Additional forms of compensation such as bonuses or company equity Salary Range $123,000 — $163,500 USD