About the Company

Armada is the hyperscaler for the edge, delivering modular AI infrastructure from first deployment to AI factory with speed, scale and sovereignty. Named one of Fast Company's Most Innovative Companies and to the CNBC Disruptor 50, Armada’s solutions are deployed in over 60 countries globally for organizations ranging from energy to defense.

With nearly $500 million in funding to date, Armada is backed by leading investors including Founders Fund, Lux, BlackRock and Microsoft (M12), alongside strategic partnerships with Microsoft, Dell, Palantir, NVIDIA, SpaceX, and Skydio. We are building the infrastructure layer for sovereign and edge AI - rugged, deployable compute for customers that cannot rely on centralized cloud.

Working at Armada means taking ownership, driving autonomy, and delivering impact. You’ll tackle challenges that haven’t been solved before and help build something transformative from the ground up. What you do here will not only define your career but help further Armada’s mission to bridge the digital divide for customers around the world.

About the role

Armada is seeking exceptional AI Engineers to build and deploy intelligent systems at the edge of the physical world.

You will develop production AI for offshore energy platforms, remote mines, defense installations, transportation networks, industrial facilities, autonomous systems, and distributed camera and sensor networks. These systems must operate reliably under real-world constraints, including intermittent connectivity, strict latency requirements, limited compute, noisy data, changing conditions, and rigorous security demands.

Depending on your expertise, your work may span multimodal and generative AI, real-time computer vision, large language and vision-language models, robotics, reinforcement learning, statistical machine learning, time-series analysis, anomaly detection, or distributed AI inference.

This role is intended for engineers with at least three years of relevant industry experience who have moved beyond experimentation, RAG implementation, and model prototyping. You will own substantial portions of the AI lifecycle, from problem definition and data preparation through model development, optimization, evaluation, deployment, observability, and continuous improvement in production.

The strongest candidates combine rigorous ML and AI fundamentals with strong software-engineering judgment. They are equally comfortable interpreting research, implementing and evaluating new methods, diagnosing performance bottlenecks, and deploying resilient containerized AI services on GPUs across cloud, data-center, and disconnected edge environments.

Location. This role is office-based at our Bellevue, Washington office.

What You'll Do (Key Responsibilities)

Translate operational problems into AI requirements, datasets, evaluation criteria, and production architectures.
Design, train, fine-tune, and deploy models for vision, language, multimodal AI, time-series analysis, autonomy, and optimization.
Apply state-of-the-art research using fine-tuning, distillation, quantization, and hybrid AI approaches.
Build training and evaluation datasets from video, images, text, telemetry, sensor data, and synthetic data.
Evaluate models for accuracy, latency, throughput, robustness, safety, groundedness, and resource efficiency.
Optimize inference through quantization, pruning, distillation, batching, caching, and hardware-aware acceleration.
Build reliable AI services using Python, testing, versioning, observability, and automated deployment.
Deploy containerized AI workloads across Kubernetes, cloud, on-premises, and disconnected edge environments.
Build pipelines for model monitoring, data validation, drift detection, retraining, and controlled updates.
Partner with customers, product teams, engineers, and domain experts to move prototypes into production.
Diagnose issues across data pipelines, models, GPUs, orchestration, networking, and applications.
Contribute reusable models, datasets, evaluation tools, platform components, documentation, patents, and publications.

Required Qualifications

Master’s or PhD in applied mathematics, computer science, computational science, engineering, or a related technical field.
3+ years of industry experience in AI research, machine learning, and production software development.
Strong programming skills in Python and proficiency in Java, C++, or another production language.
Hands-on experience with statistical machine learning, deep learning, and natural language processing.
Strong understanding of supervised, unsupervised, transfer, and representation learning.
Experience with modern neural architectures, including transformers, convolutional networks, detection models, generative models, and autoencoders.
Proficiency with deep-learning frameworks such as PyTorch, TensorFlow, or JAX.
Familiarity with containers, numerical libraries, modular software design, version control, and automated testing.
Experience applying machine learning to real-world problems and deploying models beyond research prototypes.
Evidence of technical depth through peer-reviewed publications, open-source contributions, or significant production systems; publications at conferences such as NeurIPS, ICML, ICLR, AAAI, CVPR, or ICCV are highly valued.

Preferred Experience and Skills

Experience deploying production AI on GPUs, edge servers, embedded accelerators, robotics platforms, or distributed infrastructure.
Experience with TensorRT, Triton Inference Server, ONNX Runtime, vLLM, CUDA, or similar inference technologies.
Experience optimizing AI workloads for latency, throughput, memory, power, and real-time performance.
Experience with Kubernetes, microservices, distributed systems, CI/CD, and production MLOps.
Experience building multimodal systems using vision, language, audio, telemetry, geospatial, or sensor data.
Experience developing autonomous, robotic, industrial, defense, energy, transportation, or safety-critical systems.
Familiarity with quantization, pruning, distillation, LoRA, and other parameter-efficient optimization techniques.
Experience with synthetic data, active learning, weak supervision, human-in-the-loop workflows, or simulation.
Ability to make sound decisions under ambiguity and own systems from concept through production.

Compensation

For U.S. Based candidates: To ensure fairness and transparency, the starting base salary range for this role for candidates in the U.S. are listed below, varying based on location experience, skills, and qualifications.

In addition to base salary, this role will also be offered equity and subsidized benefits (details available upon request).

Benefits

Competitive base salary and equity
Medical, dental, and vision (subsidized cost)
Health savings accounts (HSA), flexible spending accounts (FSA), and dependent care FSAs (DCFSA)
Retirement plan options, including 401(k) and Roth 401(k)
Unlimited paid time off (PTO)
14 paid company holidays per year

#LI-SM2

#LI-Onsite

Compensation

$154,560—$193,200 USD

You're a Great Fit if You're

A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you

Equal Opportunity Statement

At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.

Unsolicited Resumes and Candidates

Armada does not accept unsolicited resumes or candidate submissions from external agencies or recruiters. All candidates must apply directly through our careers page. Any resumes submitted by agencies without a prior signed agreement will be considered unsolicited and Armada will not be obligated to pay any fees.

Compensation 154560 - 193200 USD

About the company

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's Take

What believers are saying

May 19, 2026, Armada raised $230M at a $2B pre-money valuation.
Aug. 26, 2026, Orion launched with 10MW capacity and NVIDIA Blackwell compatibility.
Oct. 1, 2026, Palantir partnership and Sep. 23, 2026 Traysar deal expand demand.

What critics are saying

May 19, 2026, the $230M Arizona factory raises execution risk before revenue scales.
Armada depends on Palantir, Fossefall, and defense buyers; one delayed contract hurts growth.
Local moratoriums, permitting fights, or defense budget shifts can stall deployments by 2027.

What makes Armada unique

Oct. 1, 2026, Armada became Palantir's inaugural certified modular data center partner.
Armada's Galleons deploy in months, operate air-gapped, and keep customers owning infrastructure.
Armada's Sovereign AI Grid links distributed sites, unlike single-site cloud-dependent data centers.

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PR Newswire

Oct 21st, 2026

Armada unveils superintelligence factories built within NVIDIA DSX POD, deployable in months, not years.

Armada unveils superintelligence factories built within NVIDIA DSX POD, deployable in months, not years. Oct 21, 2026, 07:30 ET Armada will manufacture and deploy standardized, factory-integrated SI infrastructure built within the NVIDIA DSX POD reference design for the NVIDIA Vera Rubin platform. Johnson Controls plans to build 500MW of distributed sovereign SI capacity with Armada in 2027. BERLIN, Oct. 21, 2026 /PRNewswire/ - Today at NVIDIA GTC, Armada, the leader in Sovereign SI Infrastructure, announced support for the NVIDIA DSX POD reference design. DSX POD enables partners to build standardized, factory-integrated containers for deploying SI capacity faster and at scale. Under the collaboration, Armada and Johnson Controls will engineer, manufacture, integrate, and deploy pre-fabricated SI factories built on the NVIDIA Vera Rubin platform, with cabling, wiring, piping, and functional validation completed before a single unit leaves the factory. Armada was accepted into NVIDIA Inception in 2024 and started working that year with the company's network simulation technologies. Armada now builds on the NVIDIA DSX platform across the full life of an SI factory: NVIDIA DSX Air to simulate the AI factory and validate its Bridge GPU management software before hardware ships, the DSX POD reference design to manufacture containers, and NVIDIA DSX MaxLPS to maximize token output within each site's power envelope once it is running. The Armada Platform also supports NVIDIA AI Grid, enabling telecommunications operators, service providers, and enterprises to deploy, operate, and monetize geographically distributed AI infrastructure with simplicity while supporting latency-sensitive, real-time AI workloads. Superintelligence - AI systems that match or exceed human experts across most fields - has become the stated goal of the world's leading AI labs, and reaching it depends on compute at a scale the world has never built. Yet the infrastructure to run that compute is built on one of the slowest-moving models in the economy. To address this, Armada plans to partner with Johnson Controls to build 500 megawatts of distributed sovereign SI capacity in 2027. A conventional 50 MW facility can take years to become IT-ready and consume roughly 600,000 on-site labor hours, at a time when the construction industry faces a projected shortfall of 288,000 workers by 2027. Permits, power interconnects, and community approvals stretch timelines further. Companies and nations can own the chips, the land, the power, and the capital, and still be told to wait. "The SI race isn't going to be won by whoever pours concrete the fastest," said Dan Wright, Co-founder and CEO of Armada. "Companies and nations can have the chips, the land, the power, and the ambition, and still be told to wait years for a building. The NVIDIA DSX POD reference design lets us cut that wait out of the equation. We build the SI factory in one of our Galleon Forge factories, ship it, connect it, and our customers are generating tokens in months, on infrastructure they own and control." The NVIDIA DSX POD reference design moves repeatable construction work off the job site and into the factory. Compute, networking, rack-level power, liquid-cooling plumbing, and supporting infrastructure are integrated and validated before shipment. On site, Armada connects containers to prepared power, water, cooling, and networking, and customers scale by adding standardized containers as demand grows. NVIDIA DSX MaxLPS helps customers make more productive use of available power across that footprint through policy-driven power control, dynamic workload orchestration, and high-fidelity telemetry, maximizing throughput within defined power limits. "The demand for compute is outpacing the speed at which the world can build the facilities to house it," said Charlie Boyle, vice president of DGX Systems at NVIDIA. "By utilizing the NVIDIA DSX POD reference design, Armada can deliver factory-built, Vera Rubin-based containers to customers. Together with Johnson Controls, Armada is positioned to bring Vera Rubin-based factories to customers who need capacity now, wherever their energy and data are." Armada brings to the program a manufacturing and deployment capability built over years of putting data centers in places never designed for them: in frozen Alaska, on a U.S. Navy littoral combat ship, at desert sites in the Middle East, and soon on a North Sea oil platform. That work secured Armada's supply chain, built its engineering bench, and established the need for continuous manufacturing across the United States and internationally. Armada's rugged modular data center readiness is achieved in partnership with Johnson Controls. Armada's SI factory line is designed directly with NVIDIA and in line with NVIDIA reference architectures. "NVIDIA is rapidly advancing the age of intelligence and reshaping the infrastructure required to support it," said Joakim Weidemanis, CEO of Johnson Controls. "Our collaboration with Armada combines their expertise in deploying compute at the edge with Johnson Controls' advanced thermal management technology, engineering capabilities and global manufacturing scale. This combination delivers high-performance infrastructure engineered to quickly bring capacity online where and when it's needed." Armada deploys sovereign SI capacity as a grid rather than a monolith: a network of modular SI factories placed close to energy sources, including stranded, renewable, and off-hours power, with minimal community footprint and water impact. Each site is built on an open architecture with zero cloud dependencies, so customers own and control their models, their data, and the infrastructure that runs them. With this collaboration, NVIDIA designs, tests, and validates the DSX POD reference design for the Vera Rubin platform. Armada engineers, manufactures, integrates, customizes, services, supports, and delivers the modular data centers to customers at scale. About Armada Armada is the Sovereign SI Infrastructure company. The Armada Sovereign SI Grid is a distributed network of factory-built modular data centers that organizations own, operate, and run as one system, from suitcase-sized Galleons for inference where the work happens to 10 MW Leviathans for fine-tuning and inference at factory scale, delivering speed to compute, scale with demand, and sovereignty at every layer. Founded in 2022 and headquartered in San Francisco, Armada manufactures its modular data centers at Galleon Forge One in Gilbert, Arizona, and Galleon Forge Two in Dublin, Ireland, in partnership with Johnson Controls. Armada is backed by investors including Founders Fund, Lux Capital, Shield Capital, 8090 Industries, and M12. Learn more at www.armada.ai. SOURCE Armada

PR Newswire

Oct 13th, 2026

Orbius and Armada launch unified satellite-to-AI edge cloud as spend nears $317B by 2031

Orbius Communications, a multi-LEO satellite operator, has launched an edge cloud solution that combines its StarEDGE platform with Armada's edge computing infrastructure. The companies call it the first fully unified offering that spans satellite connectivity and AI computing, managed as a single system. The service targets enterprises and governments in remote or regulated settings, including maritime, energy, mining, and telecommunications. Data travels over Orbius's private network to regional data centres rather than the public internet, keeping it sovereign. Orbius says customers can deploy AI-ready operations in weeks rather than years, and scale from one site to a global fleet. Global edge computing spend is projected to nearly triple by 2031 to more than $317 billion. "Remote is no longer a limitation," said Halldor Sigurdsson, chief executive officer of Orbius. The solution is available now.

Crypto Headlines

Oct 2nd, 2026

Sovereign AI push: Palantir (PLTR) teams with Armada on Modular Data centers for enterprise customers.

Sovereign AI push: Palantir (PLTR) teams with Armada on Modular Data centers for enterprise customers. Tldr. * Armada has been designated Palantir's inaugural Certified Modular Data Center Partner. * The collaboration combines Palantir's Sovereign AI Operating System with Armada's Galleon modular data center technology. * PLTR shares finished Thursday's session 2% higher at $190.04, with premarket trading Friday showing an additional gain of nearly 1%. * The alliance focuses on government agencies and enterprises seeking full control over their AI infrastructure. * Neither company revealed the financial details of the arrangement. Shares of Palantir (PLTR) advanced 2% to close at $190.04 on Thursday following the announcement of a partnership with Armada. Early Friday trading saw the stock quoted nearly 1% higher as the market absorbed the implications of the collaboration. The collaboration revolves around sovereign AI - technology infrastructure that operates entirely under a customer's ownership and control. Palantir has been expanding this segment of its operations over recent quarters. Through this arrangement, Armada receives the designation of Palantir's inaugural Certified Modular Data Center Partner. This newly created designation comes with a concrete technology integration. Armada's Galleon modular data center platform will integrate directly with Palantir's Sovereign AI Operating System. The combined solution addresses customers seeking alternatives to reliance on public cloud infrastructure. Who this deal is really for. The primary audience for this offering includes government entities and major enterprise organizations. These are institutions where data sovereignty, localized computing resources, and compliance mandates frequently make traditional cloud solutions impractical. Examples include military and intelligence organizations, heavily regulated sectors, or entities operating under stringent data-residency laws. For such customers, physical infrastructure ownership isn't optional - it's mandatory. According to both companies, the integrated platform supports open-weight AI models. This gives customers the ability to customize these models while maintaining complete control over the underlying infrastructure. Deployment velocity represents another key advantage. Palantir and Armada claim installations can be completed within months, contrasting sharply with the multi-year timelines conventional data center construction typically requires. This accelerated timeline appeals to customers needing rapid AI capabilities who cannot afford extended infrastructure development cycles. The value proposition emphasizes both speed and sovereignty. What wasn't disclosed. Neither organization disclosed financial specifics. No contract values, revenue projections, or deployment schedules were provided. This information gap complicates investor efforts to quantify the opportunity. While the strategic rationale appears sound, concrete financial metrics remain absent. Such opacity isn't uncommon in nascent infrastructure collaborations, where initial agreements often establish frameworks rather than immediate revenue streams. Palantir has structured previous partnerships similarly. Palantir maintains extensive relationships across government and enterprise software markets. This partnership opens a new channel to customers requiring AI capabilities without dependence on major cloud platforms. GuruFocus calculated Palantir's GF Value at $182.93, slightly below Thursday's close, indicating shares trade near fair value by that metric. Investors will consider this alongside numerous other factors. Currently, the agreement extends Palantir's traditionally software-focused business into physical infrastructure territory. Revenue generation will ultimately depend on customer adoption and actual deployments.

W Media

Oct 2nd, 2026

Traysar launches underground infrastructure platform in partnership with Armada.

Traysar launches underground infrastructure platform in partnership with Armada. As w.media's Europe and Americas correspondent, Conor covers the data center industry in the western hemisphere. Conor's decade long experience spans digital infrastructure, software, cybersecurity, telecom, biotech, and construction. October 2, 2026 at 2:13 PM GMT+8 Traysar Industries (Traysar), an American-Israeli defense technology company, has launched Terminus, a truck-mounted boring platform designed to place critical infrastructure underground, and announced at the Sovereign AI Summit at Impact 250 in Washington, D.C. a partnership with AI infrastructure company Armada to develop underground systems for defense and other mission-critical uses. According to a press release, the companies plan to combine Traysar's underground systems with Armada's modular data centers and Sovereign AI Grid. They said the technology could support secure AI processing, command and control, communications and other workloads in environments where conventional facilities are vulnerable or difficult to deploy. "The next generation of critical infrastructure cannot remain exposed. Terminus transforms the Earth's crust into a protective layer for the systems America depends on most," said Yadin Soffer, Co-founder and CEO of Traysar. "The cloud changed where the world stores information. Edge computing changed where the world processes it. Terminus deepens the territory where critical compute can survive. The future of infrastructure is not only distributed, it is underground." Dan Wright, Co-founder and CEO, Armada, said, "The future of AI infrastructure is distributed, sovereign, and resilient. The Sovereign AI Grid is built so that no critical workload depends on a single site. Terminus adds a new dimension. Together we can put a fully sovereign, air-gapped AI node beneath the surface, close to the mission it supports, and keep it running when everything above ground cannot." Traysar is developing Terminus as a way to position distributed infrastructure below ground and closer to where it is needed. The persistent surveillance, autonomous weapons, precision strikes and electronic warfare have increased the risks facing surface-based data centers and communications infrastructure. Armada provides modular data centers that are manufactured off-site and deployed where power is available. Its Armada Platform can operate on-site without an external cloud connection and can be configured for fully air-gapped operations. The company's Sovereign AI Grid connects separate deployments into a distributed network. Armada's infrastructure has been used in communications-constrained environments, including a U.S. Navy deployment during UNITAS, a multinational maritime exercise. The company also said one of its Galleon systems was deployed to a military organization and brought online within six days following attacks on traditional data centers in the Middle East. According to Armada, the deployment supported real-time data fusion, satellite imagery analysis and sensor processing. Traysar describes its work as "Subterra Survivability," a focus on using underground infrastructure to protect assets and maintain operations during attacks. The company also develops autonomous systems for underground penetration, strike, maneuver, monitoring and intelligence. The companies identified several potential uses for the combined technology, including underground AI infrastructure, command and communications systems, protected data processing, distributed sovereign AI networks and continuity infrastructure for government and defense operations. Traysar and Armada's partnership is intended to support the deployment of AI infrastructure in locations where conventional facilities may be exposed to attack or disruption.

Yahoo Finance

Oct 1st, 2026

Palantir partners with Armada to deliver sovereign AI on US-made modular data centers

Palantir Technologies and Armada have partnered to deliver sovereign AI infrastructure, with Palantir naming Armada its inaugural certified modular data centre partner. The collaboration combines Palantir's Sovereign AI Operating System with Armada's Galleon modular data centres, platform, and Sovereign AI Grid. The joint offering enables enterprises and governments to run open-weight models on infrastructure they fully control, manufactured in the US and allied nations. Deployments can be completed in months rather than years, addressing growing demand for AI systems that operate within customers' security boundaries. The partnership extends Palantir's reference architecture, developed with NVIDIA, to ruggedised modular data centres. Customers can deploy and adapt models on proprietary data without relying on external cloud providers. The Armada Platform supports air-gapped operations where required, whilst the Sovereign AI Grid connects deployments into a distributed system for resilience.

Armada

AI Engineer

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