CTO

OMN4I; München; Hybrid; EUR 180.000 - 320.000; Vollzeit

Zusammenfassung

OMN4I is seeking a CTO to join as a core founding team member, owning the technical vision, architecture, and execution of our world-model stack. You will collaborate with the founders on physics-priors neural networks, SE(3)-equivariant RL, sim-to-real robotics, and large-scale ML systems to convert a strong research thesis into a fleet-scale product.

You will sit at the center of fundraising, hiring, and technical strategy from day one, shaping engineering culture as the team grows after seed

Qualifikationen

• Deep expertise in physics-grounded world models, model-based RL, or self-play systems.
• Track record leading technical teams under real constraints.
• Entrepreneurial instinct: comfortable with ambiguity and fast decisions.

Aufgaben

• Own the end-to-end technical architecture for a physics-grounded world model and RL stack.
• Build and lead a research and engineering team, starting with founding hires.
• Make and defend architecture bets on simulation, training, and evaluation methodologies.
• Represent OMN4I’s technical thesis to investors and the research community.
• Partner with the CEO on fundraising, positioning, and public technical content.
• Set technical culture and hiring standards as the team scales post-seed.

Kenntnisse

World models

Model-based RL

Self-play systems

Leading technical teams

Jobbeschreibung

The Role

We’re looking for a CTO to join as a core member of the founding team and own the technical vision, architecture, and execution of our world-model stack. You’ll work directly alongside our founders – spanning physics-priors neural networks, SE(3)-equivariant RL, sim-to-real robotics, and large-scale ML systems – to turn a strong research thesis into a fleet-scale product. This is a hire we expect to sit at the center of fundraising, hiring, and technical strategy from day one.

What You’ll Do

• Own the end-to-end technical architecture for a physics-grounded world model trained via self-play RL, spanning simulation, sim-to-real transfer, and real-world rollout recalibration

• Build and lead a world-class research and engineering team, starting with our Founding Research Scientist (World Models & Self-Play) and Sim-to-Real Research Engineer hires

• Make and defend architecture-level bets: simulation stack (Isaac Sim/Lab, MuJoCo), training infrastructure, cross-embodiment generalization, and evaluation methodology

• Represent OMN4I’s technical thesis to investors, technical advisors, and the research community – with the rigor to withstand expert scrutiny

• Partner with the CEO on fundraising, competitive positioning, and public technical content (blog posts, benchmark releases)

• Set technical culture and hiring bar as the team scales post-seed

What We’re Looking For

• Deep expertise in physics-grounded world models, model-based RL, or self-play systems – published research, applied production experience, or both

• Track record leading technical teams, not just contributing individually – you’ve hired, mentored, and made resourcing calls under real constraints

• Entrepreneurial instinct: comfortable with ambiguity, pre-product-market-fit decision-making, and moving faster than a research lab timeline

• Fluency in the current physical AI landscape – imitation learning, VLA approaches, and where self-play and physics priors offer genuine differentiation, not just narrative

• Experience with sim-to-real transfer and/or robotics deployment is a strong plus

• Comfortable operating in a small, high-trust founding team where technical calls are made fast and owned fully