CTO

OMN4I (Stealth); München; Vor Ort; EUR 180.000 - 260.000; Vollzeit

Zusammenfassung

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

You will lead architecture bets, recruit and mentor engineers, and represent the technical thesis to investors and advisors from day one.

Qualifikationen

• Deep expertise in physics-grounded world models, model-based RL, or self-play systems.
• Track record leading technical teams and hiring under constraints.
• Entrepreneurial instinct with ambiguity and rapid decision-making.
• Fluency in current physical AI landscape including imitation learning and self-play advantages.

Aufgaben

• Own end-to-end technical architecture for the world-model stack.
• Build and lead research/engineering team starting with Founding roles.
• Make architecture-level bets on simulation, training infra, and eval methodology.
• Represent the technical thesis to investors, advisors, and community.
• Partner with the CEO on fundraising and public technical content
• Set technical culture and hiring bar as the team scales post-seed

Kenntnisse

Physics-grounded world models

Model-based RL

Self-play systems

Team leadership

Entrepreneurial instinct

Imitation learning

Sim-to-real transfer

Robotics deployment

RL research

Tools

Isaac Sim

MuJoCo

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