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Data Center Site Selection Jobs

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About the Job Lead performance work that turns large-scale AI workloads into faster, more efficient systems. As a Staff AI Performance Engineer, you will analyze and optimize AI training and inference workloads across distributed systems. Your work will connect compute, memory, networking and software behavior. You will lead complex performance workstreams across hardware and software. You will find bottlenecks, validate improvements and turn performance evidence into practical engineering decisions. You will build benchmarks, profile demanding workloads and develop C++ and Python tools for analysis and optimization. Your recommendations will help teams improve efficiency, scalability and reliability. This role gives you broad technical scope across AI infrastructure at data center scale. It is based in Milpitas, California. The team and culture The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior. Work moves through evidence, ownership and clear technical judgment. You will lead investigations, coordinate across teams and validate impact with reliable performance data. Decisions are shaped through benchmarks, models, simulations and practical engineering tradeoffs. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Strong experience profiling and optimizing AI, machine learning or high-performance computing workloads. · Experience with distributed systems and communication libraries such as MPI, NCCL, UCX or libfabric. · Strong C++ and Python skills, including reliable tools or performance-sensitive software. · Deep understanding of compute, memory and communication behavior in large-scale systems. · Ability to lead technically complex work and coordinate improvements across teams. · Familiarity with MLPerf, a

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About the Job Set the performance direction behind large-scale AI systems built for real deployment. As a Principal AI Performance Engineer, you will define how Graphcore analyzes and optimizes AI training and inference workloads. Your work will shape decisions across hardware, software, networking and system architecture. You will lead the hardest performance investigations, from model behavior to multi-node scaling. You will turn profiling, benchmarking and modeling evidence into technical roadmaps and engineering priorities. You will set measurement standards, guide distributed communication strategy and review critical C++ and Python tools. Your judgment will help teams make better decisions when data is incomplete. This role gives you rare influence across AI infrastructure at data center scale. It is based in Austin, Texas. The team and culture The System Engineering Performance team architects, evaluates and optimizes high-performance infrastructure for large-scale data center deployments. The team works across the computing stack to understand real system behavior. Work happens through evidence, technical ownership and direct cross-team influence. You will guide strategy, resolve complex tradeoffs and raise performance-engineering standards across the organization. Decisions are shaped by benchmarks, simulations, models and clear technical debate. The team values engineers who think big, act fast, take responsibility, speak up and lead beyond their own area. What we’re looking for · Deep experience profiling and optimizing AI, machine learning or high-performance computing workloads at scale. · Proven technical leadership across complex performance-engineering or system-architecture initiatives. · Expert C++ and Python skills, including reliable tools or performance-sensitive software. · Expert understanding of compute, memory, communication and scaling behavior in distributed systems. · Ability to define benchmarks, measurement practices or optimization sta

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Micron
📍 Longmont Max Office
13 days ago

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 SSD Engineering team develops the firmware, tools, and infrastructure that power Micron's industry-leading storage solutions. By leveraging automation, CI/CD technologies, and AI-enabled engineering practices, the team accelerates firmware development, improves product quality, and delivers reliable storage solutions for data center and enterprise customers. As an SSD Firmware CI/CD & AI Intern, you will work alongside firmware engineers to enhance and modernize Micron's SSD firmware development ecosystem. You will develop automation tools, AI agents, and CI/CD solutions that improve how firmware is built, tested, integrated, and validated. This role focuses on engineering productivity, intelligent automation, and scalable development workflows rather than firmware feature development. Responsibilities Design, develop, and deploy AI agents that enhance firmware development, testing, integration, and validation workflows. Build and maintain Python-based automation solutions for CI/CD pipelines, firmware builds, testing, and release activities. Analyze CI/CD pipeline performance, test results, and workflow data to identify opportunities for quality, reliability, and productivity improvements. Integrate AI-assisted tools and intelligent automation capabilities into existing firmware engineering processes. Collaborate with firmware, validation, and software engineering teams to evaluate, deploy, and continuously improve automation and AI-enabled development solutions. <b

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Intel
📍 California• $220.9K – $311.9K/yr
14 days ago

Job Details: Job Description: The Role and Impact As a GPU Platform Hardware Design Engineer, you will play a pivotal role in designing and developing high-quality GPU hardware platforms that drive innovation in high-performance computing, graphics, and visualization technologies. You will lead the design process from initial feasibility studies through board layout, tapeout, and platform power-on, ensuring robust functionality and compatibility with industry standards. Your expertise in platform-level requirements, electrical engineering applications, and system bring-up will directly contribute to delivering cutting-edge GPU systems that accelerate Intel's leadership in computing. Business group The Data Center Group (DCG) is dedicated to advancing Intel's role in powering the digital world with leading-edge technologies. Focused on delivering innovative solutions for data center and cloud environments, DCG supports high-performance computing and graphics to enable capabilities such as AI, machine learning, and advanced visualizations. As part of the GPU IP Engineering team within DCG, you'll contribute to developing GPU systems that meet the evolving demands of the industry while supporting Intel's broader mission to create world-changing technology. Key Responsibilities - Design, develop, and evaluate electronic components, PCBs, and integrated circuits for GPU hardware platforms. - Translate platform-level requirements into detailed specifications and ensure adherence throughout the design process. - Define component placement and trace routing rules to optimize board layouts for performance, power, and signal integrity. - Conduct feasibility studies, board layout, tapeout, and platform power-on activities. - Perform functionality tests and utilize tools to verify platform configurations and compatibility. - Research, develop, and validate firmware, hardwa

machine learningairecruitment
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14 days ago

We are seeking an experienced IT/Lab Manager to lead the planning, deployment, and operations of our physical lab environment and IT systems. This role will focus on building and maintaining scalable, reliable, and secure environments to support engineering teams involved in research, quality assurance, validation, and related activities. It will also support internal collaborators. You will have an outstanding opportunity to drive innovation in a multidimensional, technology-focused company that is crafting the future of data-center and lab technologies. If you bring perfection and creative thinking while solving issues as they arise, and enjoy working with distributed teams – your place is with us! What You’ll Be Doing: Own day-to-day operations, planning, and roadmap for the engineering lab and IT infrastructure (servers, storage, networking, and related services). Lead and mentor an IT/Lab team, driving guidelines, standards, and a culture of ownership, partnership, and continuous improvement. Collaborate closely with R&D, QE, Verification, and other engineering teams to design, provision, and maintain environments that meet their performance, reliability, and security needs. Lead all aspects of running data center and lab operations, including rack layout, cabling, power and cooling, hardware lifecycle, and resource availability. Lead procurement and vendor management for hardware, software, and services, including evaluation, negotiation, and ongoing relationship management. Implement and maintain automation for system provisioning, configuration, and operations using tools such as shell/Perl/Ansible. Design and maintain monitoring, logging, and alerting for servers, network, and storage systems to ensure high availability and rapid incident response. Investigate and resolve sophisticated infrastructure issues across OS, networking, storage, virtualization, and appli

kuberneteslinuxansible
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M
15 days ago

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. In this role, your primary focus will be to support Infrastructure Level 2 Operations with primary focus on Windows and Unix Server technologies and methodologies, which will have a heavy emphasis on automation and a hybrid cloud environment, while maintaining operational excellence in multiple world class Data Center environments. Job Responsibility: Provide L2 support in incident, request, change and problem management related to server and DB operations in Windows and Unix operating systems. Provide L2 support and participate in Major incidents. Ensure SLA for incidents and service requests are met with high quality of work. Ensure KPIs, such as breach case target, MTTR and escalation target is met. Install and upgrade firmware for hardware and operating systems, apply patches and implement changes when required. Diagnose and solve OS/hardware errors ensuring high availability of MFG systems. Monitor server performance proactively and perform analysis of cases to prevent recurring issues. Enhance monitoring/alerting to reduce noise and recurrences. Develop processes and operation procedures related to server operations. Create and manage reports, visualizations, and dashboards related to windows/unix operations. Perform capacity planning and participate in Disaster Recovery drills. Work with Subject Matt

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M
16 days ago

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 Summary: Every gigabyte Micron ship is trusted to hold someone's data for years, whether in a phone, a car, a data center or an AI cluster. The NAND Product Reliability Architecture (NRA) team defines how we prove that trust before a product is released. As a Staff Engineer in NAND Product Reliability Architecture team, you will own the reliability architecture for Micron's newest NAND products end-to-end: interpreting reliability requirements, architecting qualification and stress strategies, developing and integrating reliability algorithms and system features, and optimizing coverage, sampling and test time so that we qualify faster without compromising quality. This is a high-leverage, high-visibility role. Your architecture decisions directly influence qualification cycle time, product time to market and the reliability our customers experience in the field. In a market where being first to qualify is a competitive advantage, speed is a core expectation. You will work closely with Technology Development, System Architecture, Design Engineering, Product Engineering, Manufacturing and Quality, and you will be expected to influence across these teams. Main Responsibilities: Comprehend NAND reliability specifications

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M
16 days ago

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: You will work regularly with Micron’s Business Units to ensure solutions meet or exceed business requirements. You will be expected to suggest, promote, and leverage published standards to minimize environment complexity and ensure regulatory as well as license compliance. As part of your responsibilities you will be required to: Provide day to day technology directions within Linux Server, OpenShift, and Data Center Server infrastructures Maintain global collaboration with the other Micron IT operations teams, both internal and external to I&O Operational support escalation Incident management and problem management Project execution Maintain OLA and SLA agreements with other Micron Business Units Innovation Specific responsibilities include (but are not limited to): Continually improves operations through routine monitoring of system performance metrics and proactive actions. Reviewing of system log files, trend analysis, configuration, incident and problem management processes. Recommends and works with the Solution and Enterprise Architect on system or architectural changes when needed to improve performance, high availability, scalability, or propose innovative technologies. Ensures architectural consistency and provides technical direction through roadmap process, knowledge management, disaster recovery plan development and testing. <

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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 HBM Platform Architecture team defines the electrical, thermal, and power-delivery architectures that enable Micron's next-generation High Bandwidth Memory (HBM) solutions. Working closely with architecture, design, packaging, and technology teams, the organization drives innovation in signaling, power integrity, thermal management, and system optimization to support AI, high-performance computing, and data center applications. As an HBM Platform Architecture Intern, you will contribute to the development of future HBM platforms by evaluating electrical, thermal, and power delivery architectures for advanced memory systems. You will work alongside experienced architects to analyze design trade-offs, develop modeling tools, and investigate solutions that improve performance, power efficiency, reliability, and scalability for next-generation memory products. Responsibilities Perform signaling and timing analysis for on-die and off-die interfaces across multiple system and packaging topologies. Develop and evaluate thermal models to analyze heat transfer, thermal performance, and design trade-offs in advanced memory systems. Analyze power delivery networks (PDNs), including IR-drop, electromigration (EM), power integrity, and power grid optimization for advanced HBM architectures. Develop modeling, simulation, and automation tools to support power delivery, thermal analysis, and architecture evaluation activities. Collaborate with architecture, design, packaging, and technology teams to

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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 Memory Systems Architecture team defines the next generation of High Bandwidth Memory (HBM) solutions that power artificial intelligence, high-performance computing, and data center applications. The team drives architectural innovation across memory systems, controllers, interfaces, and reliability features to deliver industry-leading performance, scalability, and efficiency for future computing platforms. As a Memory Systems Architecture Intern, you will contribute to the architecture and microarchitecture development of future HBM products. You will work alongside experienced architects to evaluate new memory features, analyze architectural trade-offs, develop performance models, and explore solutions that improve memory performance, reliability, and efficiency for AI and high-performance computing workloads. Responsibilities Research and evaluate next-generation HBM architecture and microarchitecture features, including memory scheduling, refresh management, reliability features, thermal behavior, and memory controller interactions. Develop and enhance performance models, simulators, and analytical tools using Python, C&#43;&#43;, or similar technologies to assess architectural trade-offs and system performance. Analyze workload behavior, simulation results, and architectural data to provide recommendations for future HBM product development. Utilize AI-assisted engineering tools and workflows to accelerate software development, specification analysis, data exploration, and technical documentat

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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. At Micron, we are transforming how the world uses information to enrich life. The High Bandwidth Memory (HBM) Design team develops industry-leading memory solutions that power Artificial Intelligence (AI), high-performance computing, graphics, and data center applications. Our team collaborates across Design, Verification, Physical Design, Product Engineering, and CAD organizations to deliver next-generation memory technologies. As an HBM Design Engineer Intern, you will work alongside experienced engineers on the design, development, and validation of advanced HBM products. This internship provides hands-on experience with semiconductor design methodologies, industry-standard EDA tools, and AI-assisted engineering workflows while contributing to real-world memory design projects in a collaborative global environment. Responsibilities Assist with HBM memory and logic design activities, including RTL development, circuit implementation, simulation, verification, and functional analysis. Develop and use scripting, automation, and AI-assisted workflows to improve design productivity, debug efficiency, and design-flow quality. Perform timing, power, and functional analysis of HBM subsystems and support design reviews, technical investigations, and root-cause analysis using AI-enabled engineering techniques where appropriate. Collaborate with Design Verification, Physical Design, CAD, and Product Engineering teams to support project execution and product development. Document technical work

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M
21 days ago

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 DRAM Systems & Architecture Lab researches and develops next-generation memory architectures that enable future AI, cloud, data center, and high-performance computing platforms. By combining advanced modeling, simulation, AI-enabled workflows, and architectural innovation, the team evaluates emerging memory technologies and defines solutions that improve performance, scalability, and efficiency for future memory systems. As a DRAM Architecture Research Intern, you will develop software frameworks, automation tools, and AI-assisted workflows that accelerate memory architecture research and analysis. You will work closely with architects and researchers to evaluate next-generation memory technologies, build simulation environments, perform performance analysis, and apply advanced AI capabilities to automate architectural studies and design-space exploration. Responsibilities Develop and enhance software frameworks, simulation environments, and automation tools that support DRAM architecture research and evaluation. Design and implement AI-assisted workflows for simulation generation, experiment automation, data analysis, technical documentation, and engineering productivity. Analyze memory architectures, including DRAM, LPDDR, DDR6, MRDIMM, CAMM, and emerging memory technologies, using modeling and simulation techniques. Perform performance, power, bandwidth, latency, and workload characterization studies to identify architectural trade-offs and optimization opportunities. Coll

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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. In this role, your primary focus will be on Linux technologies as well as VMware/Nutanix and UCS/Dell hardware Platforms. This role helps define and implement Linux Server technologies and methodologies, which will have a heavy emphasis on automation and a hybrid cloud environment with AI Code Assist, while maintaining operational excellence in multiple world class Data Center environments.​ Responsibilities and Tasks: Provide day to day technology directions and operations within Infrastructure of Cisco/Dell Server, Linux and VMware platform IT Incident and Request handling and management within service level agreement Maintain IT operations by monitoring of system performance metrics and proactive actions Site expansion and global project execution Propose system or architectural design to improve performance, high availability, scalability and disaster recovery by innovative technologies and roadmap management oncall operational support and escalation Recommended qualifications include (but are not limited to): Recommend English ability of TOEIC higher than 550 grades Major in Computer Science, Information Engineering, Information Management, or related fields Familiarity in programming skills such as Linux shell or Python, produce code with AI assisted Experiences and skills in data analysis tool such as Splunk Experiences and skills in system infrastructure architecture is a plus e.g. VMWare/Nutanix

pythondockerkubernetes
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M
22 days ago

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 Summary The SSD Validation (Test Development) Engineer is responsible for designing, developing, and maintaining performance and power validation test cases for Micron data center SSD products. The role focuses on translating product, customer, and industry requirements into scalable test methodologies, automated test cases, and validation frameworks to ensure comprehensive performance coverage and high product quality. Working closely with Performance Validation Leads, Firmware, System Architecture, Infrastructure, and Customer Performance teams, the engineer develops the validation strategies, test plans, and best practices while ensuring timely test enablement aligned with program milestones. The engineer is also expected to leverage modern software development practices, automation, and AI-assisted tools to improve engineering productivity, test effectiveness, and continuous improvement across the validation ecosystem. Key Responsibilities Test Development & Automation Design, develop, maintain, and optimize performance and power validation test cases for data center SSDs. Work closely with Performance Validation Leads to understand program-specific validation requirements and priorities. R

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Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The Head of IT Platform & Infrastructure leads one of the core teams of our Global IT organization and reports to the Head of IT Infrastructure. The team owns the platforms almost every Celonaut works in every day — Google Workspace, Atlassian, Slack, and a long tail of business-critical SaaS applications — as well as a deliberately lean, fully cloud-based infrastructure with no legacy data center to maintain. You lead a distributed team of platform engineers across Europe and India and work side by side with our IT Identity & Endpoint and IT 1st Level Support teams and in very close alignment with InfoSec. Security and identity are shared design principles here, not downstream review steps. The Role: This role owns the strategy, operation, and evolution of Celonis' internal platform landscape. You set the direction for how our collaboration and productivity platforms are run, governed, and simplified, and you make sure they stay reliable, secure, and easy to use for a fast-moving global company. You take full ownership of our Atlassian Cloud estate and run it to the same standard as any other production platform. We are explicitly looking for a leader with a strong AI skillset and mindset: someone who treats AI as

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