
EdgescaleAI makes it easier to run AI models reliably on physical and edge systems so organizations can move from prototypes to operations-grade deployments. The company provides integration tooling and platform components that connect AI models to physical devices and control systems, including SDKs, APIs, and edge deployment orchestration. It operates as a B2B software/platform provider focused on edge and embedded use cases such as robotics, IoT, and industrial systems. EdgescaleAI targets customers needing production-grade AI at the edge and emphasizes scalable, operational integrations over experimental workflows.

EdgescaleAI makes it easier to run AI models reliably on physical and edge systems so organizations can move from prototypes to operations-grade deployments. The company provides integration tooling and platform components that connect AI models to physical devices and control systems, including SDKs, APIs, and edge deployment orchestration. It operates as a B2B software/platform provider focused on edge and embedded use cases such as robotics, IoT, and industrial systems. EdgescaleAI targets customers needing production-grade AI at the edge and emphasizes scalable, operational integrations over experimental workflows.
What they do: On-site/edge AI infrastructure and platform for industrial and operational environments (Virtual Connected Edge / "The Cube")
Founded: 2023
Headquarters: Denver, Colorado, United States
Founders: Marc Rouanne; Brian Mengwasser; David La Placa
Early investor: Alumni Ventures (Seed)
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Bridging prototype AI work to operational, production-grade deployments on edge and embedded systems (robotics, IoT, industrial systems).
2023
Technology, Information and Internet
“Alumni Ventures participated in a Seed round”
The Opportunity
We’re looking for a Core Engineer focused on Software / Applied AI to build the production AI capabilities that make our edge platform scalable, reliable, and repeatable.
You’ll own core pieces of our private AI platform—agentic and multi-agent systems, repeatable AI structures, evaluation and reliability mechanisms, and platform capabilities like auto fine-tuning and runtime optimization of infrastructure and models. This work operates within clear industrial production boundaries: AI can suggest and act only within well-defined limits, and we do not ship AI behavior into industrial production without evaluation, clear ownership, and a way to roll back.
You’ll partner with data and infrastructure teams for requirements and feedback, then generalize learnings into platform capabilities that scale across deployments. This is a hands-on role for someone who thrives in a high-ownership setting and wants to build the infrastructure that makes real-world AI possible.
What You’ll Do
What Success Looks Like
In Your First 3 Months, You Will Have
In Your First Year, You Will Be
Who You Are
Unique Experiences We Value
Benefits
Edgescale AI
At Edgescale AI, we’re deploying AI in the real world—helping customers apply this technology to unlock transformative productivity gains. Our work sits at the intersection of infrastructure, security, networking, and AI, where reliability and performance are non-negotiable and where solutions demand deep, distributed systems thinking.
We’re intensely AI-native. We build with AI, we ship AI, and we use it every day to accelerate how we design, test, deploy, and operate complex systems. If you want to help pave the application of AI in the real world, at global scale, we want to hear from you.
Edgescale AI is building an inclusive, merit-based organization. We are an equal opportunity employer and do not discriminate on any legally protected status. We value diversity, inclusion, and a shared passion for creating real-world impact.