Data Center Engineer Jobs

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 Anthropic is seeking an experienced Datacenter Controls Engineer to join our Datacenter Infrastructure team. In this role, you will design, implement, and optimize control systems that support our global datacenter infrastructure, enabling the reliable operation of AI at scale. You will work on cutting-edge control systems managing critical datacenter operations including liquid cooling systems (CDUs/CDMs), HVAC, electrical power monitoring systems, and building automation systems. This position requires both technical depth in industrial automation and the ability to collaborate across disciplines to deliver integrated solutions for high-density AI compute infrastructure. Responsibilities System Architecture & Integration Design and implement multi-site controls architecture across Anthropic's global datacenter facilities Define network topology, redundancy, and high-availability requirements for control nodes and servers Develop and maintain standardized frameworks for BACnet, Modbus TCP/IP, OPC-UA, MQTT, and SNMP communication layers Ensure integration between control systems and enterprise networks while maintaining security boundaries and compliance with cybersecurity frameworks for industrial control systems Control System Design & Implementation Define, design, develop, and implement control systems for datacenter mechanical, electrical, and building management systems with focus on AI compute environments Develop SCADA/BMS applications using platforms including Ignition, Niagara/Tridium, or similar HMI/supervisory systems Select and specify instrumentation including sensors, transmitters, actuators, and

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Data Center Network Engineering (DNE) is a pod within the Physical Networking team and owns the design, deployment, and operation of Roblox's large-scale data center network. This includes server-layer connectivity, intra and inter-DC connectivity. The team is building High-Performance Networking (HPN) fabrics, deploying 400G/800G networking, and scaling GPU clusters to support AI training and inference. You will: Drive the design, deployment, and operations of Roblox's large-scale data center network, including the networking for GPU clusters that support training and inference workloads. Design, qualify, and validate new technologies and hardware for scalable solutions. Coordinate data center builds and projects with multiple teams, including weekly cross-team calls. Work with Network Reliability Systems, Data Center Ops, Capacity Planning, Supply Chain, and Compute/ML teams to address network challenges early. Contribute to automation and telemetry that improve efficiency, reliability, and visibility. You have: 6+ years of expertise designing and deploying large-scale data center fabrics (CLOS). Experience with GPU clusters or AI/ML networking. Proficiency deploying and managin

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Staff Data Center Operations (DCO) Engineer to join our Cloud Operations team. This is a Remote role in Amsterdam, reporting to the Director of Network Infrastructure in the Network Infrastructure department. In this role, you will be instrumental in deploying, maintaining, and scaling the critical physical server, network, and cabling infrastructure powering our global production data center environments. What you’ll do (Role Expectations) Execute physical rack-and-stack deployments, structured cabling, and infrastructure lifecycle management across production data centers Triage, troubleshoot, and remediate hardware and network faults while repairing or replacing failing components Manage and resolve operational ticket queues, driving scheduled corrective maintenance and break/fix activities Coordinate and partner with engineering teams, system owners, and third-party Remote Hands technicians to

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences– all created by our global community of developers and creators. At Roblox, we’re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We’re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you’ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. The Data Center Network Engineering (DNE) is a pod within the Physical Networking team and owns the design, deployment, and operation of Roblox's large-scale data center network. This includes server-layer connectivity, intra and inter-DC connectivity. The team is building High-Performance Networking (HPN) fabrics, deploying 400G/800G networking, and scaling GPU clusters to support AI training and inference. You will: Drive the design, deployment, and operations of Roblox's large-scale data center network, including the networking for GPU clusters that support training and inference workloads. Design, qualify, and validate new technologies and hardware for scalable solutions. Coordinate data center builds and projects with multiple teams, including weekly cross-team calls. Work with Network Reliability Systems, Data Center Ops, Capacity Planning, Supply Chain, and Compute/ML teams to address network challenges early. Contribute to automation and telemetry that improve efficiency, reliability, and visibility. You have: 6+ years of expertise designing and deploying large-scale data center fabrics (CLOS). Experience with GPU clusters or AI/ML networking. Proficiency deploying and managin

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. NVIDIA has a rapidly expanding ecosystem of data center platform designs. From single node HGX/DGX systems all the way up to large multi-node NVLink domain rack architectures. These designs have become core to NVIDIA's rapidly growing enterprise and cloud provider businesses. Each brings together the full power of NVIDIA GPUs, NVIDIA NVLink, NVIDIA InfiniBand networking, NVIDIA Grace CPUs, and a fully optimized NVIDIA AI and HPC software stack. We are searching for a highly motivated engineer to lead performance benchmarking and optimization efforts for our data center products. You will be instrumental in ensuring our data center solutions deliver industry-leading performance for accelerated computing workloads. What you will be doing: Design and execute comprehensive performance benchmarking strategies for our data center platforms and products Characterize real-world AI training, inference, and HPC workloads at scale Define, track, and report key performance indicators (throughput, latency, efficiency, scaling) Build automation tools and frameworks for performance monitoring and analysis Identify and analyze performance bottlenecks across compute, memory, network and storage subsystems Work closely with architecture, hardware,

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Senior Staff Data Center Operations (DCO) Engineer to join our team. This is a Hybrid role, reporting to the Datacenter Deployment Manager in the Network Infrastructure department. In this role, you will expand and optimize our global cloud security network by staging, provisioning, and maintaining high-performance bare metal hardware and infrastructure. You will collaborate closely with cross-functional engineering teams to validate build activities, troubleshoot complex staging environments, and continuously improve deployment processes. What you’ll do (Role Expectations) Provision new hardware and network devices in a staging environment to expand and supplement the global network Troubleshoot issues within the build environment and repair or replace server and network components and infrastructure Collaborate with maintenance, network, install, and platform engineering teams to execute 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 Data Center Security Engineering (DCSE) owns physical security across Anthropic's data center footprint: the sites, the hardware inside them, and the supply chain that delivers it. The Security Fusion Platform is where physical security signals from across that footprint are correlated and put in front of the analysts who act on them. It carries continuous monitoring, audit evidence, metrics, and analyst response, along with the classification and analytics pipelines that turn sensor data into events. You'll build and own the platform analysts work from. This is a foundational role. You'll build the software platform that carries a signal from source to analyst decision, ship its first versions, and keep them running in production. The sensors and systems at each site belong to other DCSE engineers; you define the event contract their owners deliver to, and you build the classification and analytics pipelines that run over what those sources produce. Physical security systems engineers own the operations spaces; you own the software that runs in them. You'll work alongside engineers focused on the sites themselves. What you lead, you own end to end: the design, the technical approach, and the result in production. You'll work with external vendors and integrators, setting requirements and acceptance criteria for what you own and deciding what the team builds itself. We use Claude throughout our engineering workflow and expect you to as well. This role involves regular travel to data center sites. No security clearance is required. These are critical services, and you'll take part in on-call for them. Key responsibilitie

JLL empowers you to shape a brighter way . Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Data Center Operating Engineer General Description: The Data Center Operations Engineer is responsible for delivery of best practice systems and problem resolution on all data center electrical and mechanical infrastructure (UPS, MV electrical systems, generators, cooling systems etc.) Location: Principal Duties and Responsibilities Task will include but not be limited to: Responsible for maintaining, monitoring, and performing preventive maintenance and continuous operation of all building systems to maintain 100% Up-time including: fire/life safety, mechanical systems such as (HVAC, chillers, crac, crah, plumbing, controls), electrical including emergency backup systems such as (lighting, UPS, ATS, STS, PDU, generators, primary switchgear, power distribution, transformers), and hot water systems. Monitors operation, adjusts, and maintains refrigeration, chilled water, and air conditioning equipment; boilers, and ventilating and water heaters; pumps, valves, piping, and filters; other mechanical and electrical equipment. Must record readings and make and adjust where necessary to ensure proper operation of equipm

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. Micron's Data Center Workload Engineering team tests how memory and storage products perform in complete data center systems. We deploy customer-representative AI, database, virtualization, and software-defined storage workloads in production-class labs. We trace I/O from the application through the system to the SSD to explain performance and identify opportunities to improve it. As a Principal Systems Performance Engineer, you will lead complex performance studies from the initial question through the final recommendation. You will personally lead the hardest investigations while setting technical direction for the team. Your work will guide SSD architecture and product development and help customers get the best performance from Micron products. This is a hands-on senior individual-contributor role. Key Responsibilities Lead application performance studies on enterprise servers, GPU-accelerated systems, and data center storage platforms. Deploy customer-representative workloads across one or more areas, such as AI training and inference, checkpointing, KV-cache offload, data preparation, databases, virtualization, and software-defined and object storage. Develop test plans with clear hypotheses, realistic configurations, appropriate controls, and repeatable methods. Instrument systems and trace I/O from the application through the software and storage stack to the SSD. Measure application throughput

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. 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. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking a Senior Principal Network Engineer to help design, deploy, and optimize next‑generation AI data center networks. AI training and inference workloads require extremely high bandwidth, deterministic low latency, and zero‑packet‑loss networking environments. In this role, you will partner closely with the Network Architecture Lead to design and scale high‑performance computing (HPC) network fabrics supporting GPU clusters. You will work across hardware, networking, and AI application layers to ensure Graphcore’s large‑scale AI infrastructure operates at peak performance. The ideal candidate brings deep experience operating hyperscale or HPC data center networks and has expertise in high‑speed Ethernet fabrics, RDMA technologies, advanced automation, and telemetry systems. The Team The Data Center Network Engineering team designs and operates the high‑performance network fabrics that power Graphcore’s AI compute platforms. The team collaborates closely with hardware engineering, AI researchers, and infrastructure teams to build scalable networking environments optimized for distributed training and infe

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 Data Center Security Engineering (DCSE) secures Anthropic's data center footprint; this role covers how the sites are designed and built to be secure. Much of that footprint is designed and built with partners, so a site's security is decided early: in what Anthropic hands the people who build it, and in how rigorously the delivered systems are tested against it. You'll design and specify the physical security systems for a site: perimeter and vehicle barriers, intrusion detection, video, security lighting, and the site penetrations and utility entry points that bypass them. Design firms and integrators produce the site drawings and install; you specify, review, and verify. You'll write the performance requirement and verification method behind each control, review every site design against them at each stage with redlines a design team can act on, test in the field that what was built performs as specified, and re-verify post-acceptance changes. This is a foundational role. You'll own Anthropic's physical security reference design package (typical details, reference drawings, schedules, and test procedures) in the form partners build from, and keep it current against each site's threat basis and the sites actually being built. You'll set the technical position for a site and decide what applies where; where a requirement can't be met as written, you'll engineer the compensating control and document the deviation. You'll work with the rest of DCSE, with Anthropic's design, construction, and real estate counterparts, and directly with the vendors who build to the package. We use Claude throughout our engineering workflow

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 Platform Security Engineering (PSE) sits within Data Center Security Engineering (DCSE). As Anthropic expands beyond traditional cloud providers into owned facilities, colocation, and partner sites, we take on the security responsibilities that cloud providers used to abstract away: firmware integrity, boot chain verification, platform trust, and host hardening. PSE exists so that Anthropic can deploy training and inference workloads to any qualified environment with a demonstrable security posture, including the technical controls behind our AI Safety Level commitments. We are hiring an engineering manager to lead a group of platform security engineers covering firmware research, OS and kernel hardening, platform trust integration, and server manageability firmware. You will own the roadmap for this group, grow the team, and be accountable for the security posture of the compute platforms Anthropic runs on: hardware roots of trust, secure and measured boot, attestation, firmware supply chain, and the integrity of the hosts that hold model weights on bare-metal infrastructure. This is a hands-on management role. You will not write most of the code, but you will review designs, make the final call on hard trade-offs, and be able to reason with your engineers from a silicon root of trust through firmware, bootloader, kernel, and host software. You will partner with infrastructure, fleet, and compute teams inside Anthropic, and with silicon vendors, OEMs, and compute providers outside it. You will report to the Data Center Security Engineering manager. Key responsibilities Lead and grow the platform security engineering gr

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 Compute Data Center Business Unit (CDBU) drives the strategy, positioning, and market adoption of advanced memory and storage technologies developed for data center, cloud, AI, and high-performance computing environments. Working closely with engineering, product management, marketing, business development, and field sales teams, the organization focuses on delivering customer value through industry-leading technologies, data-driven insights, and market-focused solutions. As an MBA Intern within CDBU, you will support priority EMEAIJ and Rest of World initiatives by conducting market analysis, developing customer-facing content, and crafting go-to-market recommendations for key verticals such as Financial Services and Sovereign AI. You will work with engineering and business teams to turn complex workload and infrastructure needs into clear business value. You will use AI and market intelligence to build impactful outcomes. Responsibilities Conduct market and opportunity assessments for targeted industry verticals, including total addressable market (TAM), customer segments, workload trends, ecosystem participants, and whitespace opportunities. Develop customer-facing solution narratives, vertical playbooks, discovery guides, and marketing content that communicate the value of memory and storage solutions for data center workloads. Collaborate with Data Center Workload Engineering (DCWE), product managers, marketing teams, business

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 member of the facility operations team, you will design, build, and activate some of the world’s most technically advanced facilities and data centers. You will be the subject-matter expert on the maintenance and reliability of critical infrastructure assets. You will have the opportunity to utilize your knowledge, experience, and creativity to develop novel solutions at the cutting edge of space technology. You will work with other facility engineers and internal customers to support these goals and have the opportunity to drive real global impact, ultimately leading to making life multiplanetary. RESPONSIBILITIES: Responsible for owning and being the subject matter expert on fluid/HVAC components across the site. Responsible for owning maintenance and reliability of critical infrastructure assets across campus. Commission systems, validate nameplate performance, and implement predictive maintenance protocols to minimize downtime. Equipment selection, sizing, and procurement support. Drive root-cause investigations for any equipment failures and implement corrective actions across the site. BASIC QUALIFICATIONS: Bachelor’s degree in

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 member of the facility operations team, you will design, build, and activate some of the world’s most technically advanced facilities and data centers. You will be the subject matter expert on all HVAC, piping, and other critical fluid systems. You will have the opportunity to utilize your knowledge, experience, and creativity to develop novel solutions at the cutting edge of space technology. You will work with other facility engineers and internal customers to support these goals and have the opportunity to drive real global impact, ultimately leading to making life multiplanetary. RESPONSIBILITIES: Responsible for owning and being the subject matter expert on fluid/HVAC components across the site. Perform CAD modeling and design of these systems. Perform fluid analyses for pressure balance, component design allowable, and consumables determination. Responsible for owning maintenance and reliability of critical infrastructure assets across campus. Commission systems, validate nameplate performance, and implement predictive maintenance protocols to minimize downtime. Equipment selection, sizing, and procurement support. Drive root-ca