Principal Datacenter Technologist

About Graphcore Graphcore is a leading innovator in artificial intelligence computing. We develop hardware, software, and data center infrastructure that provide the specialized processing and systems capabilities needed to advance AI while improving the efficiency required for broad adoption. As part of SoftBank Group, Graphcore works alongside companies developing advanced technologies. Our teams bring together AI researchers, silicon designers, hardware and software engineers, and systems architects to solve complex technical problems across the computing stack. The Opportunity As Principal Storage Architect, you will define the high-performance storage architecture for Graphcore's AI computing and data center infrastructures. You will lead the design of local and distributed storage tiers that provide the throughput, availability, and predictable tail latency required for large-scale training and inference. Working within Advanced Architecture, you will address storage requirements for saving model states, offloading key-value caches, large datasets, and high-speed data-loading pipelines. You will combine hands-on performance engineering with Principal-level technical leadership across hardware, software, networking, systems engineering, automation, supply chain, and external technology partners. What You Will Do Define the end-to-end architecture and technology roadmap for local, disaggregated, and distributed storage across Graphcore AI server and data center platforms. Design storage topologies that optimize PCIe lane allocation, network-domain placement, and data paths among CPUs, AI accelerators, memory, and storage systems. Lead the architecture of storage control-plane and data-plane solutions, evaluating commercial and open technologies against performance, resilience, manageability, and lifecycle requirements. Profile and tune the Linux storage stack, block layer, I/O schedulers, direct I/O paths, file systems, and drivers to imp

Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialized processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. RESPONSIBILITIES Responsible for the maintaining all the network fabrics and network topologies operating at peak performance on Graphcore Data centers housing AI server platforms. Collaborate closely with our Network architecture team through all phases of the design and development lifecycle — from concept to deployment — ensuring timely, high-quality, and stable high-speed network fabrics. Primary support of deployed internal fabrics in our AI Datacenters. Direct escalation for Hardware, Link and, Performance issues on network fabrics. Escalation support for customer network fabrics (aligned to reference arch.) Triage day-to-day network topologies (scale-up, scale-out, and front-end networks) issues of Fabrics deployed in Graphcore Datacenters. REQUIREMENTS Bachelor’s, master’s degree or equivalent experience in Network Engineering/Security, Information Technology, Computer Science, Computer engineering, or a related field. 9+ years of hands-on experience in network engineering and 3+ years supporting networking on AI or Hyperscale Datacenters. Knowledge of Remote Direct Memory Access (RDMA) and its implementations, specifically ROCEv2 or InfiniBand Knowledge of Lossless network – Experience with congestion control and lossless Ethernet technologies including PDF, ECN and DCQCN. Versed in High-Bandwidth networ

Location: Milpitas, CA - Please note this a hybrid role with a minimum of 3 days onsite. About Us Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin, which will play a central role in Graphcore's work building the future of AI computing. Job Overview: Graphcore is seeking a Principal Engineer, Power Engineering to aid in defining the architecture of the power delivery components from grid to chip. You will work closely with multiple cross-functional teams, including hardware engineers, firmware developers, and data center operations, to ensure the infrastructure we build meets customer requirements as well as attaining standards of performance, reliability, and scalability. This role will be based in Austin or San Jose and could potentially be performed onsite or remotely within the US. Responsibilities: Provide thought leadership, planning, and design for power delivery from data center power drop through delivery to systems & chips Establish power roadmap. Work with vendors to ensure their planned future technologies are pulled into our system engineering roadmap AND ensure that our (system engineering) required technological innovation is being driven into their (power vendor) roadmap. Work to improve reliability and efficiency of power engineering component over time. Rack-level power components. Competency with specification of ha

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. We are the Core Data Business Unit (CDBU), where memory, storage, and system architecture come together to shape the future of AI and datacenter platforms. We work at the intersection of silicon, systems, and ecosystems to solve problems at hyperscale—and we do it by partnering deeply across Micron and with the industry. If you enjoy influencing what comes next in computing infrastructure, you’ll find that work here matters! As a Sr. Principal Solutions Architect for Network Interconnect Technology, you will play a critical role in defining how Micron’s memory and storage technologies connect, scale, and deliver value in next-generation AI and datacenter systems. This role blends long-term vision with hands-on technical leadership, customer engagement, and ecosystem influence. You will help set strategy, guide architecture decisions, and translate emerging interconnect technologies into real system and business impact. Responsibilities: Own Micron’s long-term network and optical interconnect strategy aligned to AI-scale and hyperscale datacenter needs Define system and interconnect architectures across electrical and optical fabrics, endpoints, and scale-up/scale-out topologies Lead deep technical engagements with hyperscale customers and ecosystem partners to evaluate trends and drive adoption Translate architectural direction into product requirements and roadmaps with business, R&D, and engineering teams Communicate system-level tradeoffs and re

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. 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. Position Overview As a Principal Engineer within the Validation Strategy & Test Architecture organization, you will define and drive the future of validation strategy, coverage architecture, and next-generation validation solutions for Micron's Data Center SSD portfolio. This role focuses on identifying validation gaps, developing scalable coverage methodologies, evaluating emerging technologies, and improving validation effectiveness through strategic, data-driven approaches. You will work closely with architecture, firmware, system, product, and validation teams to translate customer requirements, product architectures, field learnings, and technology roadmaps into actionable validation strategies and reusable coverage solutions. The role will also help drive adoption of AI-assisted engineering capabilities, leveraging Generative AI, Large Language Models (LLMs), Agentic AI, and advanced analytics to improve coverage analysis, requirements understanding, engineering productivity, and validation decision-making. Responsibilities Define validation strategies and coverage architectures for next-generation Data Center SSD technologies and customer deployments. Develop scalable validation meth

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern deep learning — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company and establish teams with the most thoughtful people in the world. NVIDIA GH200 superchip provides performance and productivity required for strong scaling for HPC and generative AI workload. Scale out is inherent to design of this massive superchip. We are looking for expert engineers to come and help design rack level solutions for next generation scaling AI supercomputing platforms. We are looking for a strong technical architect to own end to end manageability architecture for these products in data centers. You will work with various component leads internally and externally, drive customer use cases, align architecture with customer requirements and release best products to market. Join us at the forefront of technological advancement. What you’ll be doing: Drive server management for large clusters and data centers deploying GPUs and Grace solution from Nvidia. Work with data center architects and cloud customers to narrow down on requirements for implementation to ensure speed of light product development. Work with internal teams to make sure requirements are designed and implemented in right way with each firmware and software module Collaborate with other leads to design & build data center health management workflow. Drive reliability and optimization in firmware architecture from a data center view point. Work closely with cluster bring up team and resolve is