Heteregenous Integration Ie Engineer 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 HIG IE Engineer, your responsibilities encompass tactical execution and planning to support tactical pillar, CAPEX and OCAP budget management, material planning for wafer probe C1-C4 to Micron IQP, build Business Processes to enable wafer level activities. Also to work as a window for wafer PRIME, pWLR and DOE material acquisition, drive sample deliveries to execution for Wafer Reliability and IQP Reliability. You are also expected to understand procurement of items, inventory logistic management, audits, continual improvements, 6S housekeeping, and project management. It is a must for a HIG PSE IE Engineer to be familiar with Claude Code, AI apps and leveraging AI for work productivity and quality improvements. Responsibilities include, but are not limited to: Able to utilize Claude Code and AI apps in regular work. Proven creation of Claude Code apps (Advantageous with more than one creation) Have clear knowledge of HBM wafer probe operations starting from Assembly to post C4. Have clear knowledge of wafer material acquisition from FE processes. Liaison with NPO, SIC, NPI teams from F15 and OMT. Have knowledge in MES/MAM attributes, tagging of lots from AAA, DAA and NAA lots. Familiar with CBG setting to ensure engineering wafers are not mixed with MFG wafers. Able to track E2E DOEs requests from start to CRD/MAD. Work closely with requestors on process needs. Able to work as a team with fellow members in a safe, cohesive, and collabo

Engineer, Product & System Engineering (Media Health Reliability), Heteregenous Integration - High Bandwidth Memory — Fab 10A, Singapore. Apply via Workday.

Engineer, Product Engineering (Media Health Reliability), Heteregenous Integration - High Bandwidth Memory — Fab 10A, Singapore. Apply via Workday.

Senior Engineer, Product Engineering (Media Health Reliability), Heteregenous Integration - High Bandwidth Memory — Fab 10A, Singapore. Apply via Workday.

Engineer, Product & System Engineering (Media Health Manufacturing), Heterogenous Integration - High Bandwidth Memory — Fab 10A, Singapore. Apply via Workday.

Staff Engineer (Pkg PE MFG), Heterogeneous Integration Group(HIG), High Bandwidth Memory (HBM) Product Engineering — Fab 10A, Singapore. Apply via Workday.

Senior Product Engineer (Pkg PE MFG), Heterogeneous Integration Group(HIG), High Bandwidth Memory (HBM) Product Engineering — Fab 10A, Singapore. Apply via Workday.

Product Engineer (Pkg PE MFG), Heterogeneous Integration Group(HIG), High Bandwidth Memory (HBM) — Fab 10A, Singapore. Apply via Workday.

Senior Product Engineer (Pkg PE MFG), Heterogeneous Integration Group(HIG), High Bandwidth Memory (HBM) — Fab 10A, Singapore. Apply via Workday.

Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering — Fab 10A, Singapore. Apply via Workday.

Snr/Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering — Fab 10A, Singapore. Apply via Workday.

Product Engineer (Advance Data Analytics), Heterogeneous Integration Group (HIG), High Bandwidth Memory (HBM) Product Engineering — Fab 10A, Singapore. Apply via Workday.

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 SoC Design Engineer, you will be part of the Heterogeneous Integration Group (HIG), contributing to the design, development, and integration of next‑generation HBM SoC logic die. You will work closely with architecture, verification, physical design, firmware, and product teams to implement robust, high‑performance SoC solutions that meet ambitious power, performance, area, and schedule targets. You will also work to enable and integrate AI-driven tools and AI-enabled workflows into the team's methodologies. Key Responsibilities Design and implement RTL for SoC‑level blocks and subsystems used in HBM logic die. Integrate internal and third‑party IP (e.g., controllers, microcontrollers, NOC, RAS, MBIST, interfaces, adapters, buffers, PHY‑adjacent logic). Collaborate with SoC architects to translate architectural and micro‑architectural specifications into high‑quality RTL implementations. Participate in SoC‑level integration activities, including clocking, reset, power intent, and configuration infrastructure. Assist with pre‑silicon validation and post‑silicon bring‑up, including root‑cause analysis of silicon issues. Contribute to design documentation, block specifications, and design reviews. Collaborate multi-functionally with Product Engineering, Test, Probe, Process Integration, and Manufacturing to ensure robust and manufacturable builds. Minimum Qualifications Bachelor’s or master’s degree in electrical engineering, Computer Engin

About the Team Frontier Systems Foundations, part of Compute Foundations at OpenAI, builds the systems software foundation that turns new compute infrastructure into reliable, usable capacity for frontier model training. Our mission is to make some of the world's largest GPU clusters work reliably for frontier training. We bring new platforms and clusters online, safely maintain installed fleets, and partner with hardware, infrastructure, and research teams to resolve the system-level issues that keep jobs from running. That means building and maintaining the software closest to the machine: Linux and Ubuntu operating-system images, kernels and modules, drivers, packages and repositories, disks and boot configuration, firmware integration, provisioning, and system-level validation. We make these components reproducible, compatible, and safe to operate across heterogeneous fleets. About the Role We are looking for systems software engineers with deep Linux and host-systems experience to build, qualify, and maintain the operating-system foundation for OpenAI's frontier compute fleet. Relevant backgrounds include kernel and module development, Linux distribution or image engineering, package management, firmware and driver integration, disks and boot, and bare-metal provisioning. You'll work closely with hardware engineers, vendors, and infrastructure teams to bring up new platforms, integrate system components, and debug failures across firmware, disks, boot, operating systems, kernels, drivers, and workload interactions. Your work will directly influence how quickly new capacity becomes usable and how reliably large GPU fleets operate. You should be comfortable writing and maintaining production-quality systems software and automation, but we do not expect expertise across every layer. This is an opportunity to go deep on challenging systems problems while building the image, package, qualification, and recovery paths that power the next generation of frontier models

About Anyscale: At Anyscale , we're on a mission to democratize distributed computing and make it accessible to software developers of all skill levels. We’re commercializing Ray , a popular open-source project that's creating an ecosystem of libraries for scalable machine learning. Companies like OpenAI , Uber , Spotify , Instacart , Cruise , and many more, have Ray in their tech stacks to accelerate the progress of AI applications out into the real world. With Anyscale, we’re building the best place to run Ray, so that any developer or data scientist can scale an ML application from their laptop to the cluster without needing to be a distributed systems expert. Proud to be backed by Andreessen Horowitz, NEA, and Addition with $250+ million raised to date. About Ray Data Team: Ray Data is Python-native data processing engine that is a one stop shop for all AI data processing needs. Ray Data provides performant, first-class integration with cutting edge AI frameworks using both multi-modal and structured data. The Ray Data team currently develops and maintains Ray Data . We are a team of engineers passionate about building a Data processing engine which is a one-stop shop for all of your ML/AI needs. We are looking for exceptional engineers to build, optimize, and scale Ray for modern and increasingly complex AI workloads. As part of this role, you will: Improve the performance of Ray Data and multi-modal batch inference use cases. Ensure efficient scaling across different stages of the Data pipeline in a heterogeneous environment. Building data loading solutions for production training workloads. Focus on stability and fault tolerance at high scale Working with customers and new age AI native companies in scaling their AI workloads. We'd love to hear from you if have: At least 3-4 years of relevant work experience Solid background in building scalable and fault-tolerant distributed systems Experience with data processing, database internals. Passionate about large