Build the Physical-AI Infrastructure Layer
Join the team deploying Visual Intelligence at the venue edge. Proven in live sports, built for every physical environment
View Open RolesFrom Information AI to Physical AI
The AI industry is moving through distinct eras. AI 1.0 was pattern recognition, classifying images and text. AI 2.0 brought autonomous camera control, real-time decision-making on sensor data. AI 3.0 is Physical AI, where OZ operates today: full-stack infrastructure that perceives, reasons, and acts in physical environments with deterministic guarantees. AI 4.0 is the self-evolving deployment flywheel. Every venue deployed compounds the intelligence of the entire fleet.
Edge-Sovereign
All processing happens on-venue. Zero cloud dependency for real-time operations. The venue owns its data, its runtime, and its intelligence.
Full-Stack Vertical
Enclosure → electronics → compute → robotics → runtime → inference → control → data. Every layer is engineered and owned by OZ.
Deterministic by Design
Rules-as-data, published SLOs, no hallucinated outputs. Every decision the system makes is traceable, auditable, and predictable.
What Drives Us
Ship Real Hardware
We build and deploy physical infrastructure that operates in stadiums, arenas, and venues worldwide. Not demos, not prototypes, not pitch decks.
Own the Full Stack
From enclosure engineering to inference pipelines, every layer is ours. Vertical integration is not a strategy choice; it is the only way to guarantee deterministic behavior at the edge.
Compound Through Deployment
Every venue deployed makes the next one faster, cheaper, and smarter. The deployment flywheel is our moat. Each installation feeds calibration data, operational patterns, and commissioning automation back into the fleet.
Our Locations
Silicon Valley
USA
Strategic
AI ecosystem, partnerships, investor relations
Reykjavík
Iceland
HQ
Leadership, Sales, Operations, Strategy
Nagpur
India
R&D Center
Engineering, AI/ML, Computer Vision, Robotics
Dubai
UAE
Commercial
Regional BD, Middle East markets
What We Offer
Equity / ESOP
Early-stage equity. You build the company, you own part of it.
Remote-Flexible
Work from Iceland, India, Dubai, or remote. We are async-first, and results matter more than time zones.
Learning Budget
Annual stipend for courses, certifications, and conferences. Stay sharp, stay current.
Hardware Budget
Choose your development setup. We ship globally: GPUs, monitors, keyboards, whatever you need to do your best work.
Conference Travel
Present at, attend, and learn from industry events. We want you visible in the communities that matter to your work.
Flexible PTO
Take the time you need. We trust our team to manage their energy and deliver their best work.
How We Hire
Application
Submit your profile and tell us why you are drawn to Physical-AI infrastructure. We read every application.
Skills Review
We review your background against the role requirements. You will hear back within a week.
Technical Assessment
Take-home project or live pair session, your choice. We encourage using AI tools. We care about how you think, not whether you memorized an algorithm.
Team Conversation
Meet the people you will work with. Culture fit goes both ways, and we want you to interview us too.
Offer
Clear terms, equity breakdown, and a fast decision. We do not drag out offer processes.
Frequently Asked Questions
Can I work fully remote?+
Most roles support hybrid or remote work. Some positions (particularly field operations and hardware installation) require on-site presence. Each job posting specifies the location type.
Do you support international candidates?+
Yes. We work with candidates globally and support the process for qualified hires across all our locations.
What is your tech stack?+
Our core runtime is C++ and CUDA for edge inference and real-time processing. Python for ML training and data pipelines. TypeScript and React for OZ Studio, OZ Designer, and web applications. We deploy on custom hardware with NVIDIA GPUs at the edge.
How big is the team?+
We are a growing team across Silicon Valley, Reykjavík, Nagpur, and Dubai. With our AI-First workflow, a focused team delivers outsized impact. Individual contributions are visible and your work ships to production.
Can I use AI tools during the interview?+
Absolutely. We encourage it. We use AI tools daily and expect our team to leverage them effectively. We evaluate your judgment, system thinking, and problem decomposition, not your ability to code without assistance.
What does the equity package look like?+
All full-time employees receive ESOP grants. Vesting is four years with a one-year cliff. We provide full transparency on terms during the offer stage.
What does growth look like at OZ?+
At our stage, growth is fast and non-linear. Engineers ship to production within their first week. Scope expands quickly for people who deliver. We promote based on impact, not tenure.
How long does the hiring process take?+
Typically two to three weeks from application to offer. We move fast and respect your time. If a process stalls, we will tell you why.
Ready to Build the Future of Physical AI?
We are always looking for people who want to ship real infrastructure at the venue edge.
View Open Roles