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Open nowPosted 6 days ago

Application Engineer - AI Data Centers, US (m/f/x)

Workable (global search)108,016 open roles

Where
Houston, TX, United States
Work mode
Remote
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Your applicationOpen nowApplication Engineer - AI Data Centers, US (m/f/x)Workable (global search) · Houston, TX, United States

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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 6 days ago

Workable (global search) median: 7 days open

The posting

Skeleton's Commercial department is looking for a driven and experienced

Application Engineer- Data Centers (m/f/x)

to support our customers and partners across the United States. In this role, you will be the key technical liaison between our sales, product, and engineering teams and major data center customers. Your deep understanding of power infrastructure, energy storage technologies, and thermal management will help position Skeleton’s Supercapacitor and SuperBattery solutions as performance-driven alternatives to conventional systems.

Your responsibility areas:

  • Provide pre-sales and post-sales technical support to data center customers and partners.
  • Collaborate with sales teams to identify customer requirements and translate them into technical solutions.
  • Develop and optimize system architectures for integrating Skeleton’s ultracapacitors into data center UPS, backup power, and energy efficiency applications.
  • Conduct on-site visits, technical trainings, and product demonstrations.
  • Support system design, including electrical schematics, thermal considerations, and lifecycle cost analysis.
  • Work closely with R&D and Product Development to communicate field feedback and improve product-market fit.
  • Prepare technical documentation including specifications, integration guides, and white papers tailored for the U.S. data center market.
  • Ensure compliance with relevant U.S. industry standards and certifications (UL, IEEE, etc.).

Requirements

  • Bachelor’s or Master’s degree in Electrical Engineering, Power Systems, or related technical field.
  • 3+ years of experience as an application or field engineer in the data center or power infrastructure industry.
  • Strong knowledge of power backup systems, UPS, batteries, and/or ultracapacitors.
  • Familiarity with thermal management, grid-tied systems, and data center operational requirements.
  • Excellent communication skills, both written and verbal.
  • Ability to travel domestically (up to 25–40%) for customer meetings and site support.
  • Authorization to work in the U.S.

Extra cookie points for additional qualifications:

  • Experience working with Tier 1 or hyperscale data center operators.
  • Knowledge of energy storage regulations and incentive programs in the U.S.
  • Hands-on experience with simulation tools (e.g., MATLAB/Simulink, PLECS) or electrical CAD tools.
  • Experience with industrial or grid-connected systems, especially in backup power applications.

Benefits

  • We offer flexible working hours, with the possibility of mobile working without core working hours and sufficient freedom for your own ideas.
  • A flat hierarchy culture - fostering our great working atmosphere.
  • A motivating opportunity for continuous growth at Skeleton.
  • An additional day off every year for your birthday.

About Skeleton

Skeleton Technologies is a global leader in critical power infrastructure for AI data centers and electrical grid stability, founded in 2009. Power today is more than electricity.

It is national security, digital continuity, and economic resilience. Skeleton is the Backbone of Power: equipping AI data centers, electrical grids, defense systems, and critical infrastructure with the resilience to withstand surges, instability, and failure. Our power systems protect GPU clusters from millisecond-level spikes, enable hyperscalers to run at higher rack densities without grid compromise, and make AI data centers up to 40% more energy efficient. We keep the lights on when grids fluctuate, stabilizing electrical infrastructure under the combined pressure of accelerating renewable energy deployment and surging AI demand.

When power fails, critical operations stop. We exist to prevent that in microseconds. Powering the infrastructure that powers everything else.

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