Enterprise · Edge compute / data centers
Armada has six active AI-related job listings. The majority of these roles, 67%, are focused on serving infrastructure. Engineering is the most frequent function, with three of the roles located in the United States. The company is frequently tagging roles with inference_infra and model_serving.
Currently tracking 6 active AI roles, down 33% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $30k–$290k (avg $216k).
Armada currently has 7 active AI-related roles in our index. The most common open titles are: Distinguished Engineer / Technical Fellow (3), Software Engineer, AI Engineer, Director of Product, AI, Principal Product Manager, AI. Most positions are in Engineering and Product.
Armada's active AI hiring is concentrated in: serving infrastructure (71%), application (29%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Armada is hiring AI talent in: United States (3 roles).
Job postings at Armada most frequently mention: Production ML Systems, Networking, Product Management, High-Performance Computing, Edge Computing.
In the past 30 days, Armada has posted 0 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| AI Factory Customer Engineer Customer Engineer role focused on translating customer requirements for AI infrastructure, data center architectures, and GPU systems (especially NVIDIA) into technical solutions and feedback for Product and Engineering teams. The role involves technical guidance, demonstrations, and building trusted advisor relationships with customers in enterprise, industrial, and infrastructure-heavy verticals, with a focus on AI-focused data center co-location providers and renewable energy operators. | Serve | 5 |
| Senior Forward Deploy Engineer This role is responsible for the end-to-end deployment and ongoing technical account ownership of Armada's AI infrastructure platform (Atlas, Galleon, Leviathan) for customers in the Nordic region. It involves hands-on deployment execution, infrastructure bring-up, configuration, and post-go-live technical success, adoption, and operational maturity. | — |
| 0 |