Data Center Site Selection Jobs

About the Team OpenAI, in partnership with our capital and technology partners, is building a global network of advanced datacenters to support the most demanding AI workloads. The Industrial Compute team ensures that all datacenter systems are manufactured, delivered, and commissioned to the highest standards of quality, reliability, and performance. We work closely with manufacturing partners, engineering teams, and operations staff to ensure that every component is delivered ready for installation, startup, and long-term service. About the Role We are seeking an experienced Quality Engineer (QE) to drive Product and Site Quality initiatives across OpenAI’s infrastructure ecosystem. In this role, you will establish, implement, and manage a comprehensive, quality-focused program across our global supply chain network, ensuring excellence from design through deployment. You will be responsible for end-to-end quality of finished products, as well as maintaining and elevating manufacturing site quality standards. Working cross-functionally with Design (NPI) and Engineering teams, you will help achieve First Pass Yield (FPY), quality, and reliability targets. This includes leading site and fixture validation efforts, driving yield improvement initiatives (Yield Bridge, CPI), and implementing robust corrective and preventive actions (CAPA) to resolve issues at their root cause. In addition, you will play a key role in supplier quality management, assessing and qualifying new vendors, overseeing ongoing supplier performance, and ensuring readiness for future business awards. You will lead vendor audits, monitor key performance metrics, and coordinate corrective actions to ensure predictable delivery schedules, reduced operational risk, and high system reliability. By partnering closely with external suppliers and internal Engineering and Operations stakeholders, you will help ensure OpenAI’s datacenter infrastructure is delivered on time, meets the highest quality standa

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 team defining the future of packaging of complex memory systems! Our Package pathfinding and Architecture organization sits at the intersection of silicon, packaging, systems, and customer needs—turning complex scaling challenges into technologies that power next generation platforms, through cutting edge packaging technologies. If you enjoy working on problems with real industry impact, look no further! This is a technical pathfinding role driving forward-looking packaging technology for next generation memory systems from datacenter to edge-AI. You will leverage understanding of end to end memory system architectures, to guide long term package technology direction, and partner with customers, to build innovative ideas into scalable products. You will interface between package process technology, materials, electrical, thermo-mechanical and system performance areas to guide the package strategic roadmaps for Micron. Responsibilities: Define next‑generation package pathfinding and system architectures optimizing for speed performance, system bandwidth, power, capacity, thermal, mechanical and electrical performance. Lead cross‑stack co‑optimization across silicon, package, board, and system with package centric solutions approach Drive long‑term memory technology packaging strategy and influence industry standards Work closely with silicon, and system design teams and customers for next generation and long term disruptive solutions to boost speed performance for edge-AI and d

About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. Job Summary We are seeking a Director of Silicon Logical Design to lead and scale our Logical Design group within the Silicon department. This role is accountable for the overall strategy, technical direction, execution quality and team development for Graphcores microarchitecture and RTL design efforts. The Director will be responsible for ensuring that our logical design methodologies, architectures and RTL implementations meet world class standards for performance, power, area, and schedule. This leader will partner closely with Architecture, Physical Design, Verification, DFT and Program Management teams to ensure successful, predictable silicon delivery aligned with Graphcores long term product roadmap. The Team The Logical Design team deliver the micro-architecture and RTL that realise our advanced chip architectures. As Director, you will guide this multi site team, strengthen cross functional collaboration, and drive the evolution of our design flows and capabilities. Responsibilities and Duties Leadership & Strategy Define and execute the strategic roadmap for Logical Design, ensuring alignment with Graphcore

About Graphcore At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. The Team The Verification team sits within the Silicon Design organisation. We ensure that the RTL delivered by Logical Design and used by Physical Design team implements Graphcore’s architectural needs and meets the company's quality standards. As a Director of Silicon Verification, you will help lead this multi-site organisation, define verification strategies across multiple silicon programs, and drive best in class execution to ensure high-quality, high-performance silicon delivery. Role Summary We are seeking a proven leader to help direct Graphcore’s verification strategy and methodologies. This role sets direction for the verification lifecycle including - planning, infrastructure, execution, coverage closure, debug strategy and sign-off for Graphcore’s complex, high performance AI accelerators. Reporting to the Senior Director of Verification the Director will partner closely with other teams such as Architecture, Logical Design, Physical Design, DFT, Systems as well as Program Management teams to ensure accurate implementation, accelerated debug cycles, high coverage confidence and predictable silicon delivery. Responsibilities Leadership & Strategy Define t

As a member of the HW Infrastructure Storage Strategy team, you will be the bridge between storage infrastructure and the chip design (e.g. NVIDIA GPUs and CPUs) workloads that depend on it. You will focus on going hands-on to understand how storage behavior impacts EDA (Electronic Design Automation) and HPC workload performance in general — and what to do about it. You’ll evaluate next-generation storage technologies, design POCs grounded in real workload profiles, uncover gaps in observability, and drive strategic decisions like data placement during datacenter transitions. This is a rare role where you’ll work at the intersection of storage systems and chip design workflows at a scale few companies reach — petabytes of active data, millions of files per job, and thousands of concurrent users. You’ll develop NVIDIA’s storage strategy and have a direct, measurable impact on engineering velocity. What you'll be doing: Lead storage technology evaluations — design and execute POCs for platforms such as NetApp, VAST, and others, using real EDA workload profiles to benchmark performance, metadata behavior, and compatibility Analyze how storage configurations and architecture choices impact EDA workload runtime in production, and recommend tuning or architectural changes to reduce job execution time Identify gaps in storage telemetry and observability — define what metrics are needed and how to correlate storage behavior with jobs running on the environment Support datacenter lifecycle programs — expansions, technology refreshes, and site exits — by mapping workload placement, identifying required data, and minimizing data replication scope Define storage policies and best practices — data lifecycle, tiering strategies, snapshot/clone workflows (e.g., FlexClone for EDA workspace branching), and capacity planning recommendations Collaborate with IT, EDA tool teams, EDA operations, and

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Frontier AI runs on datacenters, and the world is in the middle of the largest infrastructure buildout in a generation. The binding constraint on progress is increasingly everything around the chips: land, power, permits, equipment, and the design and construction of the buildings themselves. Bringing a single site online involves hundreds of people, thousands of components, and decisions that move enormous amounts of capital. Much of that work still runs on spreadsheets and handoffs. At Anthropic, we're building software and Claude-powered tools to help Anthropic scale out its compute, and we think there's an enormous opportunity to rethink how that work gets done. It's early, it's already having a real impact, and the engineers who join now will shape how one of the most consequential buildouts in the world gets done. We're looking for strong, versatile software engineers who love building for people doing real work in the physical world. You'll embed with the teams that source sites, design buildings, procure equipment, and manage construction, learn their work deeply, and build the tools and systems they rely on every day. Datacenter experience is a big plus, but what matters most is that you can earn the trust of expert operators, model a messy domain cleanly, and move fast. Responsibilities Build the core systems that track a data

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations Atlanta, US Austin, US Denver, US New York, US Applications will be accepted until November 01, 2026. Role summary In this role, you will focus on the buildout and expansion of our global network infrastructure across 700+ datacenter locations. You will work closely with Cloudflare’s Site Reliability Engineering (SRE) team, Network Engineering team, and various global partners—including hardware vendors, datacenter providers, a

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: Singapore or Sydney About the Team In this role, you will be focused on the build out and expansion of our global network. You'll work closely with Cloudflare’s Network Infrastructure planning team, Network Engineering team, Infrastructure automation team, Site Reliability Engineering (SRE) team, Project Managers and with various vendors and partners (including hardware vendors, logistics, datacenter and network providers, and ISPs)

Location Details: At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.​ This is a remote position, so you’ll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings. Join Our Team GoDaddy's Global Storage Engineering team operates one of the largest Ceph environments in the world, delivering the object, block, and file storage platforms that power GoDaddy's hosting infrastructure, internal services, OpenStack environments, and next-generation AI/HPC workloads. If you're passionate about distributed systems, storage architecture, and solving failure scenarios at massive scale, this is an opportunity to work on infrastructure few engineers will experience in their careers. Ceph is a strategic platform at GoDaddy — not an ancillary service. Our global footprint includes 80+ production clusters, 20,000+ OSDs, 1,830 storage nodes, 300 PB of raw capacity, and 69 billion objects spanning five datacenters across three continents. The platform supports RBD, RGW (S3/Swift), and CephFS workloads through more than 1,550 pools, 574,000 placement groups, and 900+ MDS daemons, creating engineering challenges that demand deep expertise in storage architecture, data durability, performance optimization, automation, and observability. As a Lead Senior Site Reliability Engineer, you'll serve as one of the principal technical leaders for GoDaddy's Ceph platform. You'll design the next generation of storage clusters, lead major platform upgrades, drive capacity and hardware strategy, and establish the standards that govern how the platform scales. You'll be the engineer the team turns to for the most complex s

About the Team OpenAI's Compute organization builds and operates the infrastructure that powers frontier AI training and inference. Our data center engineering teams develop the technical standards and infrastructure required to deploy compute at unprecedented scale across both self-built and partner-operated environments. We work across civil, structural, mechanical, electrical, construction, and infrastructure delivery to develop data center designs that are reliable, scalable, and optimized for speed. About the Role We are seeking a Data Center Design Manager to coordinate the design and delivery of infrastructure for large-scale AI deployments. You will bring engineering disciplines and external design partners together to translate infrastructure requirements into coordinated, buildable design packages. You will manage design milestones, resolve cross-discipline interfaces, and keep technical decisions aligned with project requirements. Working with engineering, construction, commissioning, operations, and hardware teams, you will help preserve design intent from early planning through construction and turnover. The focus is design execution, technical coordination, and clear ownership of design decisions. Key Responsibilities Manage design scope, deliverables, milestones, and dependencies from concept development through detailed design and construction support. Coordinate civil, structural, architectural, mechanical, electrical, controls, and physical network interfaces across data center buildings and campuses. Translate owner and hardware requirements into coordinated design criteria, working with discipline leads to resolve gaps and competing requirements. Lead multidisciplinary design reviews; track comments, decisions, technical risks, and actions through resolution before design release. Evaluate design changes with engineering and delivery partners, making impacts on reliability, safety, cost, schedule, and maintainability clear. Coordinate external ar

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Job Title: Data Center Strategy - Edge Available Locations: San Francisco, Austin, Seattle, or New York About the Role We are seeking a new Data Center Strategy team member to improve the quality and unit cost and grow the size and number of our colocation sites/PoPs, and help us understand where on the map Cloudflare’s infrastructure needs to go next. You possess a broad set of contacts across the data center industry and are able to

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As the Data Center Supervisor at SpaceXSI Memphis, you will oversee the health and performance of our server and network infrastructure across data centers and global points of presence. You will lead a team of technicians, ensuring optimal operations and continuous improvement in our two most critical metrics: mean time to detect (MTTD) and mean time to repair (MTTR). Your role encompasses hands-on technical leadership, process optimization, and cross-functional collaboration to maintain and enhance our data center operations. RESPONSIBILITIES: Lead and mentor a team of data center technicians, fostering a culture of excellence and continuous improvement. Oversee the installation, maintenance, and troubleshooting of server and network infrastructure. Manage and optimize data center operations, including power supply cabling, fiber/optics labeling, and hardware decommissioning. Develop and enforce standard operating procedures (SOPs) and ensure adherence to safety protocols. Coordinate with engineering and provisioning teams to ensure seamless hardware intake and repair processes. Utilize internal applications for inventory and asset management, ensuring accurate

Who are we: Graviton Research Capital is one of the largest quantitative trading firms emerging out of APAC, with a strong footprint across 40+ global exchanges and a rapidly growing presence across Europe and the USA. We’re privately funded, long-term focused, and deeply invested in building high-performance teams that operate at scale in some of the most competitive markets globally. Role Overview: Managing Data Centre facility by interacting with different vendors Support the installation, monitoring, maintenance, and overall upkeep infrastructure and systems Liaising with third parties to maintain communication lines and data center infrastructure Monitor technical progress, track project deliverables, and provide regular status updates. Handle equipment procurement, returns, shipments, and overall inventory management. Coordinate with local and remote teams to troubleshoot technical issues and ensure stable connectivity and operations. Key Skill Requirements: 2-5 years of working experience in a Data Center environment (racking & stacking gear, cable management) Experience working for an exchange- NSE/BSE/MCX Deep understanding of data center installation and cabling standards Knowledge of data center ecosystem (cooling, electrical, networking, and structured cabling) Open to provide after-hours support as needed (must) Ability to work independently, with little direct management. An understanding of networking and systems concepts (circuits, IP routing, consoles, networking)

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: As a Data Center Fiber Technician at SpaceXSI's data center, you’ll dive into the world of fiber optic systems, applying your core skills and eagerness to grow in a high-growth tech environment. Working onsite with passionate teams, you’ll tackle hands-on challenges to install and maintain critical network infrastructure, ensuring seamless connectivity. Expect to collaborate closely, refine your expertise, and keep our systems running smoothly to support SpaceXSI's mission of accelerating human scientific discovery through AI. RESPONSIBILITIES: Under the guidance of the Foreman Supervisor, Project Manager, and Superintendent manage all phases of data center installation projects Ensure a safe and productive work environment Develop sensor indicators and conduct timely inspections, so that a faulty fiber optic system does not destabilize its performance Troubleshoot, resolve, repair and install fiber optics systems, ensuring that they work properly Examine and replace faulty and/or old fiber optic cables Organize scheduled maintenance routines Take care of fiber splicing and rectify fiber optic problem areas Keep track of the signal strength of different devices F

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars. SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next. ABOUT THE ROLE: The Data Center Engineering team designs training and inference compute clusters from first principles, pushing thermal, electrical, and optical systems to the limit of physics. We operate as a highly cross disciplinary team comprised of mechanical, electrical, optical, and software engineers, all working to maximize the efficiency, reliability, and deployment speed of terrestrial computing to serve rapidly scaling demand. This team owns compute architecture, datacenter network design, rack builds, connectivity, in-house design of our own computers, and the manufacturing line that builds that compute. As a Rack Design Engineer, you will own the rack as a product: structure, power, cooling, service paths, and the physical integration of servers, switches, optics, and liquid cooling from first sketch through production rate. RESPONSIBILITIES: Own mechanical, structural, and integration design of high-density AI compute racks and associated chassis, frames, busbars, manifolds, and cable/fiber raceways Integrate compute, networking, power distribution, and liquid cooling into a buildable, serviceable, high-yield rack architecture Design for the in-house manufacturing