Full-Time

Electrical Design Engineer

Armada

Armada

501-1,000 employees

Real-time supply chain visibility platform

Compensation Overview

$108.1k - $163.5k/yr

+ Equity

Remote in USA

Remote

Occasional international travel to manufacturing partner sites, deployments, and trade events is required.

Bachelor's

Category
Electrical Engineering (1)

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Requirements
  • A Bachelor's degree in Electrical Engineering from an accredited program.
  • Three to seven years of post-degree experience in electrical design, including at least two years in data centers, mission-critical facilities, industrial power, or equivalent complex power distribution.
  • Working knowledge of the National Electrical Code (NFPA 70) and ideally one or more International Electrotechnical Commission-based national codes.
  • Hands-on experience with protection coordination and arc flash software such as SKM PowerTools, ETAP, EasyPower, or similar.
  • Proficiency with AutoCAD Electrical and/or Revit MEP, plus Bluebeam Revu or an equivalent tool for submittal markup.
  • Familiarity with UPS systems, including double-conversion topology, battery sizing, and parallel operation; medium- and low-voltage switchgear; transformers; and generator/automatic transfer switch integration.
  • Ability to read mechanical and structural drawings well enough to identify interdisciplinary conflicts before manufacturing.
  • Clear written communication for RFI responses, submittal reviews, and technical memos.
Responsibilities
  • Develop and maintain electrical designs for modular containerized data centers, including single-line diagrams, load calculations, panel schedules, grounding, cable sizing, and raceway layouts across multiple low-voltage distribution standards.
  • Run protective device coordination, arc flash, and short-circuit studies in SKM, ETAP, or equivalent, and produce field-use labels and coordination reports.
  • Review and redline vendor submittals for UPS systems, battery systems, cooling distribution units, switchgear, main distribution boards, power distribution units, and generator/automatic transfer switch packages; identify discrepancies and hold vendors accountable to specifications.
  • Support manufacturing partners by answering RFIs, resolving layout and piping/cable-routing conflicts, and participating in factory witness testing.
  • Contribute to compliance across international electrical, fire, and mission-critical facility codes and coordinate with local Authorities Having Jurisdiction.
  • Produce engineering documentation, including Statements of Requirements, design-basis memoranda, block diagrams, and commissioning procedures.
  • Work alongside mechanical, controls, structural, and fire protection engineers and external consultants, and challenge incorrect technical decisions when necessary.
  • Support field commissioning and troubleshooting, including occasional international travel to manufacturing partner sites, deployments, and trade events.
Desired Qualifications
  • Professional Engineer or Engineer in Training licensure.
  • Experience with containerized or modular/prefabricated data center products.
  • Knowledge of high-density liquid-cooled GPU systems and related electrical implications, including inrush, harmonics, rack-level power distribution, and busway.
  • Working familiarity with battery chemistries beyond VRLA and lithium-ion and with UL 9540A or equivalent large-scale battery testing requirements.
  • Familiarity with NFPA 70E, NFPA 75/76, NFPA 110, and NFPA 855 for mission-critical and energy-storage installations.
  • Experience coordinating with multiple Authorities Having Jurisdiction and international insurance bodies on mission-critical approvals.
  • Exposure to BMS/DCIM integration, BACnet/Modbus, and the electrical aspects of controls handoffs.
  • Experience working with external manufacturing partners and consultants across multiple time zones.

Armada.ai provides a cloud-based Software-as-a-Service (SaaS) platform that improves visibility and collaboration across the supply chain. It serves logistics providers, manufacturers, and retailers, and connects them through real-time analytics and a shared workflow environment. The core product integrates with customers’ existing systems and offers dashboards, data-driven analytics, and social-network-like collaboration so stakeholders can share information, identify issues quickly, and coordinate responses. Unlike many traditional supply chain tools, Armada.ai focuses on real-time visibility and cross-partner collaboration within a single platform, leveraging integrations rather than replacing current systems. The company’s goal is to help customers run more efficient, cost-effective supply chains by enabling faster decisions and better coordination across all participants.

Company Size

501-1,000

Company Stage

Series B

Total Funding

$456M

Headquarters

San Francisco, California

Founded

2016

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Simplify Jobs

Simplify's Take

What believers are saying

  • Armada raised $230 million at a $2 billion valuation on May 19, 2026.
  • Johnson Controls, Mitsui, and Microsoft partnerships expand manufacturing, energy, and sovereign-cloud reach.
  • Customer demand drove 540 percent FY25-FY26 bookings growth and 2,000 percent Q1 FY27 year-on-year.

What critics are saying

  • NVIDIA, Microsoft, and Johnson Controls can commoditize Armada's control layer by 2027.
  • Galleon Forge One production starts summer 2026; factory delays will choke deployments.
  • A defense-heavy revenue mix exposes Armada to procurement freezes and one-customer concentration risk.

What makes Armada unique

  • Armada pairs Galleon modular data centers with Armada Edge Platform and Bridge orchestration.
  • Microsoft Azure Local integration targets sovereign private cloud in disconnected, contested environments.
  • NVIDIA AI Grid support validates Armada's multi-site orchestration for latency-sensitive AI workloads.

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Benefits

Company Equity

Growth & Insights and Company News

Headcount

6 month growth

3%

1 year growth

4%

2 year growth

4%
Insider Monkey
May 20th, 2026
Johnson Controls International (JCI) partners with Armada for development of Arizona factory.

Johnson Controls International (JCI) partners with Armada for development of Arizona factory. Published on May 20, 2026 at 2:37 pm by catherine talavera in news. Johnson Controls International plc (NYSE:JCI) is one of the 8 Best Climate Change Stocks to Buy According to Analysts. On May 19, modular data center builder Armada announced that it has entered an agreement with Johnson Controls for the development of the Galleon Forge One factory in Arizona. In a statement, Armada said Galleon Forge One will span up to 400,000 square feet and is projected to create 500 jobs, in addition to additional roles in the domestic supply chain. The company also unveiled a Global Framework Agreement for modular data center systems with Johnson Controls, adding that the latter is also making an investment in the company. Johnson Controls Chief Executive Officer Joakim Weidemanis said the company is working with Armada to rapidly deliver secure modular data centers at scale. He added: "Together, we have already deployed units across the United States and around the world, demonstrating the expertise and global reach required to support mission-critical environments. Johnson Controls' differentiated technology, U.S.-based manufacturing strength and Armada's edge computing expertise will deliver the thermal-critical environments that perform predictably, deploy quickly, and scale with confidence." Of the 25 analyst ratings compiled by CNN, 52% rated Johnson Controls Buy, while 36% assigned a Hold rating. The stock has an average price target of $155, a 14.46% upside from the current price of $135.42. Johnson Controls International plc (NYSE:JCI) is engaged in thermal management, mission-critical building systems, energy efficiency, and decarbonization. The company helps customers use energy more productively, reduce carbon emissions, and operate with precision. While we acknowledge the risk and potential of JCI as an investment, our conviction lies in the belief that some AI stocks hold greater promise for delivering higher returns and doing so within a shorter time frame. If you are looking for an AI stock that is more promising than JCI and that has 10,000% upside potential, check out our report about this cheapest AI stock.

Mitsui & Co.
May 20th, 2026
Mitsui invests in Armada to deploy AI infrastructure at industrial sites

Mitsui & Co has invested in Armada Systems Inc, a San Francisco-based provider of AI infrastructure solutions for industrial sites. The investment amount and valuation were not disclosed. Founded in 2022, Armada deploys modular data centres near industrial sites to enable real-time AI processing in harsh environments. Its integrated hardware and software platform supports operational automation, remote operations and predictive maintenance across sectors including oil and gas, manufacturing and mining. The company currently employs 400 people. Mitsui will leverage Armada's technology alongside its global network to develop edge data centre businesses and enhance AI capabilities across its metals and energy operations. The investment aligns with Mitsui's Medium-term Management Plan 2029, which prioritises data and AI integration across industrial sites.

Built In
May 20th, 2026
Edge computing company Armada raises $230M at $2B valuation.

Edge computing company Armada raises $230M at $2B valuation. The oversubscribed Series B will support growth as the company invests in modular data center production. Published on May. 20, 2026 Armada, an edge computing company providing modular AI infrastructure, secured $230 million in an oversubscribed Series B funding round co-led by Overmatch, BlackRock and 8090 Industries. The company, valued at $2 billion, also announced a framework agreement with Johnson Controls to establish production of Galleon Forge One, a modular data center, at a factory in Arizona. Galleon Forge One will span 400,000 square feet and is expected to create 500 jobs alongside various supply chain roles. Continuous production will commence in summer 2026, starting with Leviathan, Armada's megawatt-scale modular data centers for high-density AI training and inference workloads. In addition to the framework agreement, Armada secured an investment from Johnson Controls that furthers its ability to produce and deploy AI infrastructure where customers need it. "The AI race will not be won by one-off projects," Dan Wright, Armada's co-founder and CEO, said in a statement. "It will be won by the companies and countries that can manufacture, deploy and continuously improve AI infrastructure, with speed, scale and sovereignty. At Galleon Forge One, we will do what America does best: build the industrial base to win." Armada will invest its latest capital injection in supporting its growth initiatives and unlocking capacity for modular data centers.

FinSMEs
May 19th, 2026
Armada Raises $230M in Series B Funding

Armada, a San Francisco, CA-based infrastructure and artificial intelligence company developing an edge computing and satellite-enabled platform, raised $230M in Series B funding

Pipeshift
May 19th, 2026
Pipeshift partners with Armada to bring open-source inference to Bridge Marketplace.

Pipeshift partners with Armada to bring open-source inference to Bridge Marketplace. Armada Bridge customers can now access Pipeshift for production open-source LLM inference May 19, 2026 Partnership Pipeshift is excited to partner with Armada.ai as part of the launch of Bridge Marketplace, Armada's new ecosystem for validated AI infrastructure software. Through the marketplace, Armada Bridge customers can access Pipeshift for production open-source LLM inference. Pipeshift brings MAGIC, its model optimization framework for serving workloads across latency, throughput, and cost constraints. The partnership gives Bridge customers a direct way to run optimized model endpoints on secure compute infrastructure provided through Armada. Teams can use Pipeshift to turn open-source LLMs into inference services for internal applications, customer-facing products, and regulated AI workloads. Once the GPU infrastructure is available, the serving path still has to be built. Armada Bridge gives businesses a way to access secure compute infrastructure for AI workloads. That includes the operational layer around multi-tenant access, scheduling, orchestration, billing, infrastructure services, and platform services. Production AI still needs model endpoints that hold latency, throughput, and cost behavior under real demand. Pipeshift works on that inference path, optimizing runtime decisions such as: * how the model is served * how requests move through the runtime * how the endpoint balances latency, throughput, and cost MAGIC tunes the serving path around each workload. MAGIC is Pipeshift's model optimization framework for production inference. After a team selects a model and compute target, the serving setup still has to match the workload. Chat traffic, batch jobs, and long-context pipelines each need different runtime behavior. Different AI workloads put pressure on different parts of the serving path: * Chat and agent endpoints: prioritize first-token latency, streaming behavior, and queue control during traffic spikes * Coding workloads: need stable decode performance across longer responses and concurrent users * Long-context and RAG workloads: put heavier pressure on prefill, memory movement, and cache reuse * Batch inference jobs: push for higher GPU utilization while keeping them away from latency-sensitive endpoints * Structured-output endpoints: need reliable formatting and tool-call behavior without adding heavy serving overhead The diagram below shows the flow from Armada Bridge compute infrastructure to a workload-specific inference endpoint. MAGIC gives each workload a serving path matched to its runtime pressure. A latency-sensitive endpoint, a long-context pipeline, and a batch job each need different runtime assumptions. Bridge customers can use Pipeshift to run open-source models as purpose-built inference endpoints on compute infrastructure provided through Armada. AI teams should be able to request model endpoints directly. For Bridge customers, Pipeshift makes secure compute infrastructure easier to use for production model serving. AI demand rarely arrives as one clean workload. A coding assistant, internal RAG system, support agent, and batch summarization job can run inside the same business with different serving requirements. Those requests may involve Qwen, Llama, DeepSeek, Mistral, Gemma, or another open-source model the team wants to run. Infrastructure teams need a repeatable serving layer for new models, workloads, and application requirements. And, the operators need a repeatable serving layer for new models, workloads, and tenant requirements. Pipeshift helps standardize that layer across open-source inference deployments. A new endpoint can start from a known serving pattern, then get tuned for the model, workload, and capacity target. Pipeshift is excited to support Armada customers building production AI infrastructure. Pipeshift is glad to support the launch of Armada Bridge Marketplace. Armada Bridge customers can find Pipeshift in the marketplace to explore production open-source LLM inference on secure compute infrastructure provided through Armada. Teams that want to discuss a specific model, workload, or deployment target can also reach out to Pipeshift directly.