Full-Time
Staff Data Center Civil Engineer
Super Micro Computer
5,001-10,000 employees
Modular, energy-efficient server hardware solutions
Compensation Overview
$165k - $195k/yr
San Jose, CA, USA
In Person
 Architecture & Civil Engineering |
|---|
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- Bachelor’s degree in Civil Engineering or related discipline (Master’s preferred).
- Minimum 12 years of experience in civil/site development and infrastructure delivery for mission-critical facilities, data centers, industrial, or large-scale projects.
- Professional Engineer (PE) license (or actively pursuing licensure with expected completion within 12 months) with strong experience managing external civil consultants as owner’s representative or developer.
- Demonstrated expertise with AutoCAD Civil 3D and other civil design tools; familiarity with GIS, Bluebeam, or Navisworks.
- Deep knowledge of site development (grading, earthwork, stormwater management, drainage, utilities), permitting processes, AHJ coordination, and data center/industrial site requirements.
- Proven experience coordinating across geotechnical, structural, MEP, and architectural disciplines.
- Strong project management, analytical, and communication skills with ability to interface with customers, AHJs, contractors, and internal teams.
- Ability to travel domestically and internationally as needed (approximately 20-25%).
- Lead civil site evaluation, due diligence, and feasibility assessments for DCBBS modular data centers and traditional projects (greenfield, brownfield, fit-out, and colocation), including topography, drainage, utilities, soils, floodplain, and environmental constraints.
- Develop and maintain civil design standards, basis of design, site readiness checklists, master specifications, and reference designs to ensure consistency and scalability across global DCBBS and data center deployments.
- Define site planning requirements including grading and earthwork, drainage and stormwater management, access roads, equipment yards, loading paths, utility routing, and future expansion areas.
- Manage external civil consultants and engineers of record from schematic through IFC; review deliverables, enforce Supermicro standards, track design quality and schedule, and coordinate across geotechnical, structural, and other disciplines.
- Ensure designs comply with applicable codes, AHJ requirements, and lead permitting strategy including NPDES/SWPPP, land disturbance, floodplain (CLOMR/LOMR), and utility permits; monitor regulatory risks and develop mitigation strategies.
- Collaborate closely with architectural, structural, electrical, mechanical, product engineering, and DCBBS teams to integrate site civil requirements with foundations, structural interfaces, utility coordination, and modular or traditional building layouts.
- Support due diligence, site selection, construction administration, submittal/RFI reviews, field observations, constructability reviews, and project closeout documentation.
- Conduct design reviews, resolve site interface and constructability issues, capture lessons learned, and contribute to continuous improvement of civil frameworks and DCBBS deployment processes.
- Act as subject matter expert (SME) on civil and site engineering for data centers, including grading, drainage, utilities, permitting, and constructability.
- Mentor junior civil engineers and collaborate with multidisciplinary design and construction teams.
- Provide technical training for internal teams and contribute to design summits, commissioning reviews, and customer-facing engagements.
- Engage with industry partners and track emerging technologies, standards, and best practices in civil/site development for modular and hyperscale data center infrastructure.
- Master’s degree in Civil Engineering.
- Experience with hyperscale data centers, modular/prefabricated deployments, FM Global site requirements, or large-scale industrial infrastructure.
- Familiarity with geotechnical evaluation, expansive soils, karst, high water table, or other challenging site conditions.
- Hands-on experience in construction field support, commissioning, and post-construction evaluation for civil/site work.
- Proficiency with stormwater modeling software (e.g., StormCAD, CivilStorm) and BIM integration.
- Demonstrated success in fast-paced, cross-functional teams bridging civil engineering and data center deployment.
Super Micro Computer designs and sells high-performance, energy-efficient server hardware and related software and services for data centers, cloud services, AI, 5G, and edge computing. Its Building Block Solutions offer configurable servers, storage, motherboards, and chassis built from common components, so customers can assemble workload-optimized configurations for rapid deployment. The company emphasizes green computing and power efficiency, using modular components to speed customization and time-to-market compared with competitors. Its goal is to help customers deploy powerful, reliable computing infrastructure with lower energy use and simpler procurement through direct sales and a broad network of distributors and resellers.
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
San Jose, California
Founded
1993
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Simplify's Take
What believers are saying
- $2B India AI deal with Gorilla validates scale execution for 20,736 B300 and 5,120 B200 cards.
- Q3 revenue reached $10.24B with 123% YoY growth despite 19% sequential decline from supply constraints.
- New liquid-cooled NVIDIA HGXB300 systems ready for high-volume shipment to drive AI factory clusters.
What critics are saying
- Taiwan probe may revoke US export licenses and block Nvidia GPU shipments within 3–6 months.
- Co-founder Wally Liaw's $2.5B smuggling charge could trigger SEC enforcement, leadership purge, or delisting.
- Nvidia may terminate SMCI as preferred AI server partner within 6–9 months if export violations are confirmed.
What makes Super Micro Computer unique
- Modular Building Block Solutions enable rapid custom server configurations from common components.
- In-house design and manufacturing in US, Asia, and Netherlands optimizes TCO and green computing.
- End-to-end DCBBS liquid cooling supports 10kW–240kW rack capacity for legacy and new data centers.
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6 month growth
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↑ 19%2 year growth
↑ 19%Supermicro simplifies Edge AI deployments with validated Kubernetes appliances with Red Hat and Everpure. SAN JOSE, Calif., July 8, 2026 - Super Micro Computer, Inc. (NASDAQ: SMCI), an AI, Enterprise, Storage, and 5G/Edge Total IT Solution Provider featuring Data Center Building Block Solutions(R)(DCBBS), today announced the launch of Kubernetes Edge AI appliances in collaboration with Red Hat and Everpure. Supermicro has validated a full-stack edge Kubernetes solution, powered by the industry's leading Kubernetes-driven hybrid cloud application platform, Red Hat OpenShift, and the first Kubernetes data management platform tailored for AI workloads from Portworx by Everpure. This turnkey appliance, complete with preloaded software and hardware, is made available to customers through Supermicro. "AI inferencing at the edge requires more than just hardware - it demands a validated, scalable platform that customers can deploy with confidence," said Vik Malyala, chief business officer, Supermicro. "Together with Red Hat and Everpure, we are delivering a turnkey Kubernetes Edge AI Appliance that simplifies deployment, accelerates time-to-revenue, and enables customers to efficiently scale AI workloads across distributed edge environments." By combining Red Hat OpenShift with Supermicro's edge computing infrastructure and the Portworx by Everpure data management platform for AI workloads, organizations can more easily deploy, manage, scale, and secure AI applications across distributed edge environments. "As AI-driven applications continue to reshape how businesses operate at the edge, the need for a robust, consistent, and scalable platform is paramount. Red Hat OpenShift delivers that foundation, providing the common hybrid cloud application environment that simplifies the complexity of deploying, orchestrating, and managing AI workloads. In collaboration with Supermicro and Everpure, we are committed to empowering customers with a supported, integrated, and high-performance solution that accelerates their time-to-value for AI inferencing at the edge," said Kelly Switt, senior director, Intelligent Edge and Industrial Business Lead, Red Hat. Portworx by Everpure provides the Kubernetes-native storage and data management layer for Supermicro's Edge AI Appliances. This enables enterprises to run AI inference, containers, and virtual machines at edge locations with the same enterprise-grade data services available in their core data centers. Unlike array-based storage solutions that require dedicated hardware at each site, Portworx offers software-defined, aggregated local storage on Supermicro's compact edge servers into a resilient, self-healing data platform that operates autonomously, even during network outages. The result is enterprise-grade high availability and data protection at every edge location, with consistent storage policies and a unified operational experience that extends seamlessly from edge to core to cloud. "Enterprises deploying AI at the edge face a critical infrastructure gap, they need enterprise-grade storage and data protection, but they can't run traditional arrays in environments like retail stores or factory floors," said Greg Muscarella, general manager, Portworx by Everpure. "Together with Supermicro and Red Hat, we're delivering a validated, turnkey solution that combines Portworx services customers rely on like consistent management, built-in resilience, and the operational simplicity to scale to thousands of sites without the need for on-site IT expertise." Supermicro is a leader in computing edge infrastructure, with one of the largest, most energy efficient, and most diverse portfolios of edge servers and devices, in a full range of form factors. This enables Supermicro to develop tailored solutions for each customer use case, with optimized initial acquisition cost, and total-cost-of-ownership (TCO). Supermicro DCBBS delivers complete, modular AI infrastructure built from validated components and subsystems, enabling flexible deployment from individual servers and networking to full rack-scale and data center-level solutions, including software and services. Supermicro continues to lead the industry with its comprehensive portfolio of AI infrastructure solutions, enabling organizations worldwide to deploy scalable, efficient, and environmentally responsible AI data centers. About Super Micro Computer, Inc. Supermicro (NASDAQ: SMCI) is a global leader in Application-Optimized Total IT Solutions. Founded and operating in San Jose, California, Supermicro is committed to delivering first-to-market innovation for Enterprise, Cloud, AI, and 5G Telco/Edge IT Infrastructure. Supermicro is a Total IT Solutions provider with server, AI, storage, IoT, switch systems, software, and support services. Supermicro's motherboard, power, and chassis design expertise further enables its development and production, enabling next-generation innovation from cloud to edge for its global customers. Its products are designed and manufactured in-house (in the US, Taiwan, and the Netherlands), leveraging global operations for scale and efficiency and optimized to improve TCO and reduce environmental impact (Green Computing). The award-winning portfolio of Server Building Block Solutions(R) allows customers to optimize for their exact workload and application by selecting from a broad family of systems built from its flexible and reusable building blocks that support a comprehensive set of form factors, processors, memory, GPUs, storage, networking, power, and cooling solutions (air-conditioned, free air cooling or liquid cooling). Supermicro, Server Building Block Solutions, and Supermicro Keep IT Green are trademarks and/or registered trademarks of Super Micro Computer, Inc. All other brands, names, and trademarks are the property of their respective owners. Media Contact: Greg Kaufman Super Micro Computer, Inc. [email protected]
Floating data centers: Samsung wants to take data centers to the sea. The growing demand for digital infrastructure to support artificial intelligence (AI) is pushing big tech companies toward increasingly creative solutions. Samsung Heavy Industries wants to move data centers from land to the ocean. The explosion of generative AI has brought with it a logistical infrastructure problem. Space, energy, and cooling are the three major obstacles for traditional onshore data centers. That's why Samsung Heavy Industries, the shipbuilding division of Samsung Group, believes it has found an answer: floating data centers (FDCs) - data centers installed on vessels at sea. The project gained traction at Posidonia 2026, the world's largest maritime exhibition held in Athens, where Samsung Heavy Industries signed an agreement with Greek Capital Clean Energy Carriers Corp and Lloyd's Register. The concept is simple in theory but complex in execution: build ships from scratch specifically designed to house data center infrastructure, something different from what others are attempting. How it works and what sets it apart from other projects. While Hitachi, in partnership with Mitsui O.S.K. Lines, is converting existing ships into repurposed data center platforms, Samsung is betting on building vessels from scratch specifically designed for this purpose. The 50 MW FDC model that the company developed has already received approval from the American Bureau of Shipping and Lloyd's Register, which confirmed the technical feasibility of the design, including structural integrity and the integration of onboard power generation systems. One of the big advantages of these floating data centers is cooling. Seawater is pumped through a closed-loop heat exchange system, where it absorbs heat generated by the servers and returns it to the ocean without any direct contact with the computer equipment. This mechanism eliminates freshwater consumption and can reduce energy consumption for cooling by 40 to 60 percent compared to conventional air conditioning systems. Model of a floating data center project at the Samsung Heavy Industries booth at Data Center World in Washington. Credit: Rich Miller Samsung has several partners to make the concept a reality. In addition to the agreement with Capital Clean Energy and Lloyd's Register, Samsung Heavy Industries also signed an agreement with Supermicro, a US specialist in AI servers, to develop server configurations adapted to the marine environment. More recently, it also teamed up with Mousterian Corporation, a Dallas-based company specializing in floating and 'adjacent to water' data center infrastructure. Challenges still pending. Turning a data center into a maritime vessel is no easy task. The partnership with Capital Clean Energy therefore serves to validate the concept with real prototypes, testing potential problems related to humidity, salinity, vibrations, and workload reliability in a maritime environment. Practical issues that remain open include the construction cost of a 50 MW unit, the timeframe from contract to operation, and which coastal markets Samsung and Capital will target first. What is certain is that Samsung is assembling piece by piece the entire commercial structure needed to launch this product - namely certification, technology, market analysis, and hardware adapted to the sea - before building a single ship. If the floating data center model proves viable, some of Samsung's structures could one day be installed somewhere in the ocean.
Gorilla Technology announces $2 billion AI infrastructure deal in India with Supermicro, expanding strategic collaboration across Asia Pacific. - Gorilla successfully closes an AI infrastructure supply arrangement valued at approximately US$2 billion in India with Supermicro, designed to support Gorilla's Yotta project through the delivery of 20,736 B300 cards, 5,120 B200 cards, networking equipment & related infrastructure - Building on this momentum, both companies have entered into a strategic framework to jointly pursue multi-billion-dollar opportunities across India and Asia Pacific markets San Jose, California and London, United Kingdom - (Newsfile Corp. - June 2, 2026) - Gorilla Technology Group (NASDAQ: GRRR) ("Gorilla") today announced the successful closure of a landmark AI infrastructure deal in India with Super Micro Computer, Inc. ("Supermicro"), valued at approximately US$2 billion for 20,736 B300 cards, 5,120 B200 cards, networking equipment & related infrastructure, underscoring the scale, execution capability and commercial strength of the partnership that will empower Gorilla's Yotta AI infrastructure project in India. Executives from Gorilla Technology and Supermicro during a meeting in San Jose, California. Pictured (left to right): Jay Chandan, Chairman & CEO, Gorilla Technology; Charlies Liang, Founder, President, CEO, and Chairman of the Board, Supermicro; Thomas Sennhauser, CTO for Infrastructure, Gorilla Technology. Source: Gorilla Technology. To view an enhanced version of this graphic, please visit: This transaction reflects ongoing deployments supporting large-scale AI data centre and GPU infrastructure programs in India, including major hyperscale and sovereign AI initiatives and establishes both companies as key enablers of next-generation AI compute capacity in the region. In addition to the closed deal, Supermicro and Gorilla will collaborate further to pursue multi-billion-dollar AI infrastructure opportunities across India and Asia Pacific, including Southeast Asia and other high-growth markets. The partnership will focus on: * Hyperscale AI data centre buildouts * GPU-as-a-Service (GPUaaS) platforms * Sovereign AI and national compute programs * Enterprise-scale AI transformation initiatives Supermicro will continue to provide its industry-leading AI server and rack-scale infrastructure platforms, while Gorilla will drive infrastructure solutions, managed services and innovative commercial and financing models to accelerate adoption and scale. Both companies are positioned to deliver end-to-end AI infrastructure at scale, combining advanced compute platforms with flexible deployment and funding models to meet accelerating global demand. Executives from Gorilla Technology, Supermicro and Yotta Data Services during a meeting in San Jose, California. Pictured (left to right): Vik Malyala, President & Managing Director of EMEA & SVP of Technology & AI, Supermicro; Suresh Kumar Tulluri, General Manager of India, Supermicro; Thomas Sennhauser, CTO for Infrastructure, Gorilla Technology; Jay Chandan, Chairman & CEO, Gorilla Technology; Sunil Gupta, Co-founder, Managing Director & CEO, Yotta Data Services; Dr. Rajesh Natarajan, Group CTO, Gorilla Technology; Jackie Wang, GM of Asia, Gorilla Technology. Source: Gorilla Technology. To view an enhanced version of this graphic, please visit: Global Go-To-Market and Deployment Focus The collaboration will target high-growth markets across: * Asia and the Middle East * Europe and sovereign AI-driven regions * Large enterprise and public sector transformations Both companies expect to engage cloud providers, governments and large enterprises to design and deploy next-generation AI data centre ecosystems. Executive Commentary "Supermicro is excited to collaborate with Gorilla and support its project with Yotta to accelerate the deployment and expansion of the AI infrastructure in India and Asia Pacific," said Charles Liang, President and CEO, Supermicro. "Our industry-leading server portfolio, management software, and innovative Data Center Building Block Solutions(R) deliver a significant advantage empowering customers to accelerate AI adoption with speed and flexibility, for Hyperscale, Sovereign AI, and Enterprise data centers." Jay Chandan, Chairman & CEO, Gorilla Technology - "This collaboration is not theoretical for Gorilla. Across our two current Yotta deployments in India alone, we are already supporting approximately US$2 billion of GPU and networking infrastructure procurement. That gives real weight to this relationship and demonstrates the scale of the opportunity in front of us. As demand for sovereign AI and large scale compute infrastructure accelerates across Singapore, Malaysia, Thailand, Indonesia, India, the Philippines, Japan and Taiwan, we believe Supermicro will be a key partner in helping us execute against a much broader regional and global pipeline with the potential for several billions of dollars of additional infrastructure demand over time. The opportunity is not limited to one country or one customer. It is a platform opportunity across the fastest growing AI infrastructure markets in Asia." Sunil Gupta, Co-founder, Managing Director & CEO of Yotta Data Services - "This deal between Supermicro and Gorilla represents a significant milestone in accelerating Yotta's AI infrastructure expansion in India. Given the rising demand for AI infrastructure in India, this collaboration is essential for delivering the next wave of hyperscale AI compute across enterprises and public sector organizations across the country." About Gorilla Technology Group Inc. Headquartered in London U.K., Gorilla is a global solution provider in Security Intelligence, Network Intelligence, Business Intelligence, IoT technology and data centres. We provide a wide range of solutions, including Smart City, Network, Video, Security Convergence and IoT, across select verticals of Government & Public Services, Manufacturing, Telecom, Retail, Transportation & Logistics, Healthcare and Education, by using AI and Deep Learning Technologies. Our expertise lies in revolutionizing urban operations, bolstering security and enhancing resilience. We deliver pioneering products that harness the power of AI in intelligent video surveillance, facial recognition, license plate recognition, edge computing, post-event analytics and advanced cybersecurity technologies. By integrating these AI-driven technologies, we empower Smart Cities to enhance efficiency, safety and cybersecurity measures, ultimately improving the quality of life for residents. Forward-Looking Statements This press release contains "forward-looking statements" within the meaning of the "safe harbor" provisions of the Private Securities Litigation Reform Act of 1995. Gorilla's actual results may differ from its expectations, estimates and projections and consequently, you should not rely on these forward-looking statements as predictions of future events. Words such as "expect," "estimate," "project," "budget," "forecast," "anticipate," "intend," "plan," "may," "will," "could," "should," "believes," "predicts," "potential," "might" and "continues," and similar expressions are intended to identify such forward-looking statements. These forward-looking statements include, without limitation, statements regarding our agreements with Supermicro and Yotta, including the expected timing and amount of revenues that may be generated thereunder, the timing of deployment of the cards, and our ability to enter into agreements relating to additional AI infrastructure opportunities in Asia, along with those other risks described under the heading "Risk Factors" in the Form 20-F Gorilla filed with the Securities and Exchange Commission (the "SEC") on April 15, 2026 and those that are included in any of Gorilla's future filings with the SEC. These forward-looking statements involve significant risks and uncertainties that could cause actual results to differ materially from expected results. Most of these factors are outside of the control of Gorilla and are difficult to predict. Should one or more of these risks or uncertainties materialize, or should underlying assumptions prove incorrect, actual results may vary materially from those indicated or anticipated by such forward-looking statements. Readers are cautioned not to place undue reliance upon any forward-looking statements, which speak only as of the date made. Gorilla undertakes no obligation to update forward-looking statements to reflect events or circumstances after the date they were made except as required by law or applicable regulation. | Public Relations Contact | Investor Relations Contact | | Samantha Dowd Prosek Partners for Gorilla Technology [email protected] | Dave Gentry RedChip Companies, Inc. for Gorilla Technology 1-407-644-4256 [email protected] | 发行人全权负责对本公告的内容 Gorilla Technology Group Inc. Technology 02 Jun 2026 10:05am #Metal & Mining #Business 01 June 2026 5:15pm HKT #Metal & Mining #Business 29 May 2026 9:30am HKT
Supermicro and Arm deliver energy-efficient rack-scale infrastructure for enterprise AI. Supermicro has announced a new class of AI-centric solutions featuring Arm AGI CPUs. The increasing compute demands of modern agentic AI require a new class of rack-scale infrastructure that maximises compute performance within the power envelopes and physical footprints of enterprise data centres. Supermicro's new solutions are built to support the rapid growth of agentic AI, delivering performance, efficiency, and density that maximises the economics of rack-scale deployments backed by Supermicro's, end-to-end DCBBS capabilities reduce time-to-online. "Supermicro continues to lead the industry when it comes to deploying new and innovative rack-scale solutions that maximize performance and efficiency," said Charles Liang, president and CEO of Supermicro. "Our DCBBS technology stack delivers end-to-end data center solutions of any size, which combined with the new density and efficient performance optimized Arm AGI CPU microarchitecture, helps enterprises realize significant TCO savings on their agentic AI infrastructure investments." "Agentic AI is driving a fundamental shift in infrastructure requirements, where efficiency, scalability, and orchestration performance are becoming just as critical as raw compute," said Mohamed Awad, Executive Vice President, Cloud AI Business Unit, Arm. "By combining Arm AGI CPUs with Supermicro's rack-scale system expertise, we're enabling infrastructure designed to deliver higher AI throughput, maximum compute density, and improved data centre economics at scale." Supermicro's new computing platforms consist of air-cooled dual-socket 2U compute-optimised and 5U GPU-optimised rack-mount servers, as well as a liquid-cooled multi-node solution designed specifically for rack-scale agentic AI deployments. Combining Supermicro's modular, high-density architectures with the energy-efficient Arm Neoverse CSS V3-based CPUs enables scalable, flexible infrastructure that maximises performance-per-watt and lowers energy demand to accelerate AI adoption across modern data centres. When deployed in Supermicro solutions, the Arm AGI CPU can deliver over 2x performance per rack compared to traditional architectures and help enterprises save up to $10 billion in CAPEX per Gigawatt of AI data centre capacity based on Arm's estimates. Building on Supermicro's industry-leading rack density and performance-per-watt, these solutions help ensure maximum utilisation of data centre space and power resources. Arm AGI CPU boasts a dense 136-core microarchitecture purpose built for performance, minimising legacy overhead and completing more work per cycle for sustained, unthrottled performance. 6GB/s memory bandwidth per core and latency-optimised memory access support linear scaling, while expanded memory capacity and flexible I/O provides energy-efficient, scalable agentic AI infrastructure to orchestrate thousands of parallel tasks across distributed infrastructure. With over 6,000 cores in a single air-cooled rack, enterprises can efficiently deploy numerous dedicated systems for a high volume of agentic AI tasks.
Super Micro Computer Inc. (NASDAQ:SMCI) shares have declined 36% over the past year and 24% year-to-date, validating Jim Cramer's January warning to sell stocks with accounting irregularities. Since his comments on Mad Money, the stock has fallen 24%. The AI server manufacturer faced multiple setbacks, including missing revenue and earnings estimates in August when it reported $5.76 billion in revenue against expectations of $5.89 billion. The stock plunged 33% on 20 March after the company's co-founder was charged with smuggling AI hardware to China. Cramer had stated on 14 January that accounting irregularities warrant immediate selling, calling it one of his most profitable rules. The stock's subsequent performance has vindicated his cautionary stance on the controversial AI manufacturer.