Hbm Mrda Shift Process Engineer Jobs

About the Team OpenAI’s Hardware organization is building the infrastructure foundation for frontier AI systems. The Supply Chain organization is responsible for enabling scalable, resilient, and efficient supply chains across custom silicon, systems, networking, memory, storage, and rack-scale infrastructure. The Supply Chain Program Manager (SCPM) drives end-to-end material readiness and supply chain execution across the hardware lifecycle, from early architecture and sourcing strategy through production ramp and sustaining operations. We are looking for experienced supply chain leaders who can operate across technical, commercial, and operational domains to ensure material readiness, supply continuity, and execution excellence for complex AI hardware programs. About the Role As a Supply Chain Program Manager, you will own material readiness and supply chain execution for critical hardware programs spanning custom silicon, systems, memory, storage, networking, and rack infrastructure. You will work cross-functionally with Engineering, Strategic Sourcing, Manufacturing Operations, Finance, Planning, Quality, and external suppliers to develop and execute scalable supply strategies that support aggressive product development and deployment timelines. This role requires deep understanding of hardware supply chains, material planning, NPI execution, supplier management, and operational scaling in constrained and rapidly evolving environments. Responsibilities Material Readiness & Supply Planning - Own end-to-end material readiness across NPI and production phases, including building the necessary framework and processes for enablement. Drive supply planning and execution for long lead-time and constrained commodities including ASICs, HBM, DDR, SSDs, networking, optics, power, thermal, and mechanicals. Build and manage material readiness plans aligned to proto/pre-EVT, EVT, DVT, PVT, and mass production schedules. Monitor supply health, lead times, inventory positio

About the Team OpenAI’s Hardware organization develops system and infrastructure solutions optimized for advanced AI workloads. We collaborate across research, software, and external hardware partners to design and deploy next-generation AI systems at scale. Our team works closely with silicon vendors and system partners to evaluate emerging technologies, validate performance characteristics, and ensure that hardware capabilities translate effectively to real-world AI workloads. About the Role We are seeking a 3P Hardware Architecture Expert with deep expertise in GPU and accelerator architectures to engage directly with silicon vendors and guide hardware decisions for AI infrastructure. In this role, you will evaluate architectural tradeoffs across compute, memory, and interconnect systems, translating vendor specifications into real-world workload impact. You will play a critical role in early silicon evaluation, benchmarking, and performance validation, helping ensure that next-generation hardware meets the needs of our workloads. This role is highly hands-on and requires both deep technical understanding and the ability to engage at a high level with partners such as NVIDIA and AMD on architectural direction and design tradeoffs. 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. Key Responsibilities Engage deeply with silicon vendors (e.g NVIDIA & AMD) on GPU and accelerator architecture tradeoffs. Analyze and interpret performance, power, and efficiency characteristics of next-generation hardware. Translate vendor specifications into expected real-world performance for AI workloads. Evaluate architectural aspects including: compute throughput and utilization memory systems (HBM, cache hierarchies, bandwidth constraints) data types and precision tradeoffs (FP16, BF16, FP8, etc.) interconnect and scaling behavior. Run benchmarks and profiling to validate hardware performance 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. As a High Bandwidth Memory Test Engineer at Micron, you will develop, debug, and maintain code that enables the parallel testing of advanced memory devices. Micron Test Engineers support R&D, interacting closely with global teams, as well as taking part in the designing and debugging of test hardware. In this position, you will constantly learn new device specifications and operations in order to develop efficient and innovative solutions of production test flows thru test algo optimization. Additionally, you will take responsibility to gain a firm understanding of the functionality of advanced memory devices as defined in product data sheets. RESPONSIBILITIES AND TASKS: Independency of development of new tests and test algorithms for HBM, which covers test software and hardware requirements, defect coverage, characterization, trending, process flow, and test times. Experienced on test programs development for products using primarily Python and C coding on automated test equipment in the given area followed by test program release to manufacturing area. Be a lead to new product introduction (NPI) as well as pre/post silicon tasks management. Develop test Automation solutions as electrical validation and qualification of new test equipment and tools. Independently debug and identify root causes on test issues and provide solutions across internal/external groups. Provide meaningful statistical data analysis, analytics and justification on program v

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities. Tenstorrent is seeking a highly skilled Physical Design Engineer to drive the critical Die-to-Die (D2D) Physical Implementation from RTL to GDSII. This role demands deep expertise in full physical design flow with a specific focus on closing high-speed D2D interfaces for multi-die/chiplet architectures. This role is remote role open to any location in the U.S. We welcome candidates at various experience levels for this role. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting. Who You Are A seasoned ASIC Physical Design Engineer with 5+ years at advanced nodes (7nm or below) and multiple successful tapeouts. Strong in full-chip implementation, comfortable owning blocks from RTL to GDSII across synthesis, floorplanning, place-and-route, CTS, and sign-off. Deeply familiar with high-speed interfaces (D2D, PCIe, HBM, SerDes) and the physical challenges that come with them (timing, signal integrity, power integrity). Detail-oriented and methodical with STA, constraints, and closure for complex, high-speed designs. A hands-on problem solver who enjoys collaborating across analog, digital, and full-chip teams to debug tough issues. What We Need Lead Die-to-Die (D2D) physical implementation and closure, taking high-spe