V

Vertiv

Builds power and cooling systems for data centers

Field Service Technician

Full-TimeUpdated on 10/23/2026
No salary listed
Entry, Junior, Mid
Kansas City, MO, USA
In PersonTravel is required; schedules may include weekends, evenings, and holidays.
Field ServiceEquipment Field Service
No H1B Sponsorship

About the job

Requirements
  • A high school or vocational school diploma.
  • Two to four years of military experience in a related technical field, or zero to two years of relevant industry experience.
  • Communicate professionally and respectfully in written and verbal forms.
  • Manage time effectively by prioritizing and balancing technical and administrative tasks.
  • Complete administrative tasks, including report writing, time entry, expense reporting, material debriefing, and inventory counting, in a timely fashion.
  • Perform basic site evaluations, including assessing environmental temperature and general operating conditions.
  • Demonstrate familiarity with electrical and electronic test equipment and fundamentals.
  • Follow written technical documentation, including procedures and product manuals, to perform service tasks.
  • Use elementary fix and repair techniques under directed supervision.
  • Complete service tasks and return units to full operating condition under directed supervision.
  • Summarize and report work performed in written and verbal form.
  • Use a personal computer and associated applications, including Microsoft Office and Vertiv software.
  • Travel as required and accommodate flexible schedules, including weekends, evenings, and holidays.
  • Hold a valid driver's license.
  • Pass a pre-employment drug test, background check, and motor vehicle records check.
  • Operate safely and in accordance with published safety guidelines; maintain and operate a company vehicle according to local laws and company policy; wear required personal protective equipment; follow the 14-hour work rule; and report work-related accidents or injuries within 24 hours.
  • Meet the physical requirements of the role, including regularly standing, walking, using hands and fingers, handling tools or components, reaching, stooping, kneeling, crouching, or crawling; frequently sitting and climbing or balancing; meeting specified vision abilities; and consistently lifting up to 50 pounds and occasionally up to 75 pounds.
  • Be legally authorized to work in the United States; sponsorship is not provided.
Responsibilities
  • Perform assigned service tasks according to company policies and procedures, working under direct supervision or independently based on training completion.
  • Provide on-site and phone assistance to customers.
  • Communicate with Technical Support about technical or procedural issues.
  • Implement Field Change Notices according to published guidelines and stay current on safety bulletins, safety Field Change Notices, Field Change Notices, and Service Tips.
  • Complete accurate and timely administrative tasks, including time cards, expense reports, mileage reports, Service Request task closure, and service reports.
  • Maintain individual inventory and perform cycle counts according to company policy.
  • Maintain company property, including the company vehicle, credit cards, personal protective equipment, test equipment, and laptop.
  • Communicate appropriately with internal and external customers and provide estimated arrival times where applicable.
  • Complete scheduled maintenance documentation and provide it to the customer and local office after each assignment.
  • Strive to resolve equipment issues on the first visit and maintain customer satisfaction rates according to company guidelines.
  • Attend customer meetings as required.
  • Maximize productivity by combining service opportunities and completing technical and administrative work efficiently and on time.
  • Make technical and commercial decisions under pressure.
  • Evaluate sites and equipment to determine appropriate billing status.
  • Maintain productive utilization rates and complete inventory cycle counts according to company guidelines.
  • Follow the company dress code and safety regulations; meet on-site response-time requirements; comply with startup and escalation processes; and maintain adequate internal communications.
Desired Qualifications
  • ASEET or AMEET, or progress toward either qualification.

About the company

V

Vertiv

View
Website

Vertiv builds power and cooling equipment that keeps data centers, communication networks, and industrial facilities running through outages and heavy computing loads. Its Liebert cooling systems manage the heat generated by servers, while its power products protect equipment and distribute electricity. The company sells equipment directly and through distributors, then earns additional revenue from installation, maintenance, spare parts, and services throughout the equipment life cycle. Its portfolio also includes racks and software for monitoring and managing IT equipment. Vertiv became a standalone company in 2016 and is headquartered in Westerville, Ohio.

Company Size

10,001+

Company Stage

IPO

Headquarters

Westerville, Ohio

Founded

2016

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Simplify Jobs

Simplify's Take

What believers are saying

  • Sales growth supports expansion: Vertiv reported 24% higher quarterly revenue in July 2026.
  • Ohio career opportunities are planned: Vertiv announced hundreds of additional jobs through 2029 in March 2026.
  • Career planning has a formal structure: Vertiv lists its Career Framework in the employee rewards package.

What critics are saying

  • Large deployments strain delivery: Vertiv reported supply-chain congestion and project timing shifts in July 2026.
  • Booked demand carries cancellation risk: Vertiv's $15 billion December 2025 backlog allows customers to defer or reduce commitments.
  • Job security faces cost targets: Vertiv's ongoing restructuring program includes workforce reductions across all segments.

What makes Vertiv unique

  • Cooling expertise predates the AI boom: Liebert pioneered precision computer room air conditioning in 1965.
  • Modular sites support varied power standards: Vertiv SmartMod integrates factory-tested enclosures with 12V, 48V, or 400V DC.
  • Field support has global scale: Vertiv reports approximately 5,000 service engineers and 320 service centers.

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Benefits

  • Health Insurance
  • Paid Vacation
  • Paid Sick Leave
  • 401(k) Retirement Plan
  • Flexible Work Hours
  • Remote Work Options
  • Hybrid Work Options
  • Wellness Program

Growth & Insights and Company News

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Yahoo Finance
Oct 22nd, 2026
Vertiv shares fall 8.65% to $193.80 despite model showing 30% more AI output

Vertiv shares fell 8.65% to $193.80 at about 11:46 ET on Thursday, even as the data-centre power and cooling supplier said a new deployment model could speed up AI projects. Using NVIDIA DSX, Vertiv modelled up to 30% more cumulative AI token output in a project's first year. Its scenario cuts design and validation from 30 days to three, and halves infrastructure deployment from 90 days to 45. That yields 317 productive days instead of 245. The gains are modelled, and actual results depend on execution. Polar Data Centers is applying the factory-built approach to the first 41-megawatt phase of its Herya campus in Norway. Vertiv's second-quarter adjusted operating margin was 22.6%, up 410 basis points year over year.

Associated Press
Oct 22nd, 2026
Dassault Systèmes and Vertiv partner to cut AI factory deployment time by up to 50%

Dassault Systèmes and Vertiv Holdings Co. announced a collaboration to let AI factory infrastructure be configured, simulated and validated before construction begins. The companies aim to cut field complexity and speed up deployment of NVIDIA DSX AI factories. Vertiv's SimReady power and cooling designs will run on Dassault Systèmes' 3DEXPERIENCE platform as configurable virtual twins. The work builds on Vertiv's SmartRun twin and extends to solutions such as Vertiv OneCore. The companies target up to 10x faster progress from requirements to a validated design, and up to 50% less deployment time. In Vertiv's model, capacity comes online about 10 weeks sooner, yielding up to 30% more token output within 12 months. The gain comes only from earlier readiness, not a measured customer result. The companies are showing the approach at NVIDIA GTC Berlin, October 20-22.

MarketScreener
Oct 21st, 2026
Vertiv Holdings Co. and NVIDIA introduce AI Factory approach using NVIDIA DSX and Vertiv factory-built infrastructure.

Vertiv Holdings Co. and NVIDIA introduce AI Factory approach using NVIDIA DSX and Vertiv factory-built infrastructure. Published on 10/21/2026 at 08:50 am EDT S&P Capital IQ Vertiv Holdings Co. and NVIDIA introduced an AI factory approach that combines rapid configuration and virtual validation of pre-engineered reference architectures with factory-built deployment. The approach is designed to move AI factories from project kickoff to productive capacity faster and, under defined assumptions, generate up to 30% more cumulative token output within the first 12 months with the same installed capacity. The Vertiv and NVIDIA approach starts instead with pre-engineered AI factory reference architectures that can be rapidly configured to customer and site requirements, virtually validated before deployment, then translated into factory-built infrastructure. Teams can start with pre-engineered AI factory reference designs and rapidly configure them for specific compute, power, cooling and facility requirements in a shared virtual environment. The approach combines the NVIDIA Vera Rubin DSX AI Factory reference design and NVIDIA Omniverse DSX Blueprint, with Vertiv SimReady power and cooling assets, integrated with Dassault Systèmes' 3DEXPERIENCE agentic platform. Rather than developing an integrated infrastructure design from scratch, teams can configure and virtually validate proven reference designs against project requirements, interfaces and constraints. In the modeled scenario, this reduces the time from requirements to a configured and validated AI factory solution from approximately 30 days to three days, a 10x improvement. Vertiv is also contributing SimReady OpenUSD assets of its power and cooling equipment to SimReady Central Library on Hugging Face. The library helps engineering teams discover and reuse validated equipment assets in AI factory digital twins, reducing asset preparation and helping teams evaluate infrastructure options during design. Once the AI factory configuration is validated, Vertiv prefabricated solutions shift more assembly, integration and testing into the factory before equipment reaches the site. These solutions include Vertiv? OneCore, a hybrid-built data center solution that integrates critical power, thermal management and supporting infrastructure, and Vertiv? SmartRun, a prefabricated overhead infrastructure system for high-density power distribution, liquid cooling, networking and containment. By moving more infrastructure work off-site, teams can reduce field complexity and on-site integration requirements. In the modeled scenario, the factory-built approach reduces the infrastructure deployment period from approximately 90 days to 45 days, a reduction of up to 50%. Combined with the faster configuration and validation enabled by pre-engineered reference designs, the modeled approach reduces these stages from approximately 120 days to 48 days. That can make productive AI capacity available about 10 weeks sooner, generating up to 30% more cumulative token output within 12 months of project kickoff with the same installed capacity. (C) S&P Capital IQ - 2026

PR Newswire
Oct 21st, 2026
Vertiv and NVIDIA target 30% more AI token output in year one; Polar deploys 41MW Norway site

Vertiv and NVIDIA have introduced an AI factory approach that pairs pre-engineered reference designs with factory-built infrastructure. Announced at NVIDIA GTC Berlin, it aims to bring AI capacity online sooner. In modelled scenarios, it yields up to 30% more cumulative token output in the first 12 months at the same installed capacity. The modelled approach cuts configuration and validation from about 30 days to three, and deployment from about 90 days to 45. Together, that trims these stages from roughly 120 days to 48, making capacity available about 10 weeks sooner. Polar Data Centers is using the factory-built model for the first 41 MW phase of its AI data center at Herøya, Norway, which is scalable to 100 MW.

Industrial AI Technology
Oct 21st, 2026
European partners adopt NVIDIA DSX to build more efficient AI factories using digital twins.

European partners adopt NVIDIA DSX to build more efficient AI factories using digital twins. 15 hours ago NVIDIA has announced that European partners are adopting its DSX AI Factory Platform to build AI factories that use less water and less power for the same output. The news came at GTC Berlin on 21 October 2026. Cooling and power. NVIDIA's DSX reference designs combine closed-loop liquid cooling with outdoor dry coolers, which reject heat without evaporating water. The company says this can bring facility cooling water use close to zero. At 2 GW scale, it estimates savings of 54 million litres of water per day compared with cooling-tower systems, roughly the daily use of 180,000 households. Vera Rubin infrastructure supports 100% liquid cooling with coolant temperatures up to 45°C, though local climate determines whether supplemental mechanical cooling is needed during peak heat. On power, DSX MaxLPS allocates power dynamically within a facility's fixed budget. NVIDIA says it can generate the same number of tokens with up to 30% less power. Lambda tested it on HGX B200 systems and reported 24% more cluster token throughput and 19% more GPU capacity within a fixed power budget. Nscale tested it on four GB300 NVL72 racks in Iceland and reported 49% higher inference throughput and 37% more managed GPU capacity within the same 264 kW provisioned budget. Digital twins and simulation. The industrial software angle centres on DSX Sim and the new SimReady Central library on Hugging Face, which holds validated power and cooling equipment assets from partners such as Vertiv. * Nscale is using DSX Sim to build digital twins of its Portugal and Iceland facilities, testing power, cooling and infrastructure configurations before deployment. * Siemens is using DSX Sim to simulate power, cooling and acoustics. * Dassault Systèmes and Vertiv are developing digital twin models of Vertiv's OneCore infrastructure using model-based systems engineering. * PTC is working on creating simulation-ready assets from computer-aided design files. * Schneider Electric is working with AVEVA on digital twins spanning design, construction and operations. * ABB is developing SimReady assets for evaluating source-to-rack power architectures and advancing 800 VDC development. * Procore has integrated its construction management platform with DSX Sim. Grid flexibility and operations. DSX Flex lets AI factories adjust workload power draw in response to utility needs, demand-response events and energy prices. In an early trial involving Emerald AI, EPRI, Nebius, the UK's National Grid and NVIDIA, a Blackwell Ultra cluster reduced its power draw by up to 40% during simulated grid events while critical workloads kept running. For operations, NVIDIA is releasing three new open-source DSX OS components in developer preview: Config Manager for network configuration, Rack Management Service for power, inventory, firmware and switches, and Cluster Readiness Engine, which validates GPU clusters and isolates node failures. Power and cooling partners. Trane Technologies and Eaton built an integrated grid-to-chip design for the Vera Rubin DSX AI Factory Reference Design, and Trane published seven thermal management reference designs, including three 250 MW DSX-based cooling designs. Under the DSX Ready programme, LiquidStack GigaModular and Vertiv's 2.3 MW CoolChip are qualified coolant distribution units, and Hitachi Energy's battery energy storage system earned DSX Ready BESS qualification. GE Vernova, Hitachi Energy and Siemens Energy are working with NVIDIA on energy-system and grid planning. Leadership comment. Warren Barkley, VP of DSX product management at NVIDIA, said, "Europe's technology leadership depends on how efficiently we turn power and infrastructure into intelligence." Josh Payne, founder and CEO of Nscale, said, "Europe's AI ambitions demand that we make every megawatt count."