VMFS USA isn't a vending machine company.
We build infrastructure—physical, digital, and operational—for automated retail at scale.
Machines are just the surface. Underneath is a system that combines hardware, software, logistics, payments, compliance, data, and long-term operator success.
We work at the intersection of
That means we don't hire "roles." We hire builders.
Smart hardware and automation
Payments and compliance
AI-driven decision systems
Logistics and real-world deployment
Long-term, defensible business systems
Who Thrives Here
You'll fit at VMFS USA if you:
- Think in systems, not features
- Care about how things work in the real world, not just in theory
- Want ownership, not micromanagement
- Are comfortable operating in ambiguity and building from first principles
- Respect execution as much as vision
This is not a corporate environment. This is a builder environment.
What We're Building Toward
Over the next several years, VMFS USA is building:
- A national automated retail network
- Proprietary machine intelligence and cloud systems
- AI-driven location, inventory, and performance modeling
- Compliance-ready vending for regulated products
- A vertically integrated ecosystem for operators, brands, and locations
The careers below reflect where we're going, not just where we are today.
Open & Future Roles
Some roles are active, others are exploratory. If you see yourself in one of them, we want to hear from you.
Engineering & Systems
Senior Systems Architect
Design the backbone that connects machines, cloud services, payments, compliance, and data flows into one cohesive system.
Embedded Systems Engineer
Work at the hardware–software boundary, integrating vending machine controllers, sensors, payment modules, and peripherals.
Infrastructure / Cloud Engineer
Build and maintain scalable, secure cloud infrastructure that supports real-time machine data, monitoring, and automation.
DevOps Engineer
Own deployment pipelines, uptime, monitoring, and system reliability across a growing distributed network.
AI, Data & Intelligence
LLM / AI Engineer
Design AI agents for customer support, operator guidance, diagnostics, and internal automation.
Machine Learning Engineer
Develop predictive models for inventory, location performance, demand forecasting, and failure prevention.
Data Engineer
Build clean, reliable data pipelines from machines, payments, logistics, and customer systems into actionable intelligence.
Applied AI Architect
Translate business complexity into AI-driven systems that actually ship and work in production.
Commercial & Growth (Selective, Senior)
Strategic Partnerships Lead
Build long-term relationships with brands, enterprise clients, and institutional partners.
Enterprise Sales Architect
Design high-trust, high-ticket sales processes for complex vending deployments.
Growth Systems Strategist
Build sustainable growth loops across marketing, partnerships, and product adoption.
Operations & Logistics
Supply Chain & Logistics Architect
Design scalable import, warehousing, fulfillment, and deployment systems across the U.S.
Operations Systems Manager
Turn messy real-world processes into documented, repeatable, scalable systems.
Quality & Compliance Lead
Ensure machines, software, and processes meet regulatory, safety, and operational standards.
Product & Experience
Head of Product
Own the product vision across hardware, software, and services—turning complexity into clarity.
Product Designer (Systems & UX)
Design interfaces for operators, partners, and internal teams that make advanced systems feel intuitive.
Technical Product Manager
Bridge engineering, operations, and business—ensuring what we build solves real-world problems.
How We Work
- Remote-first, with strong U.S. operational presence
- Long-term thinking over short-term wins
- Asynchronous by default, focused on outcomes
- High trust, high accountability
- Documentation over meetings
What We Offer
Competitive compensation
(role-dependent)
Performance-based upside
and long-term incentives (select roles)
Real ownership
and influence
Direct exposure
to complex, real-world systems
A front-row seat
to the future of automated retail
