Founding AI Researcher: Quantum-Inspired LLM (Equity Only)

This is Not a Job. It is a Founding Partnership.

This is a call to an AI researcher who believes their life's work can be the core intelligence of America's next industrial era.

We are Verso Industries, a company founded to solve a generational challenge: the systemic vulnerability of our nation's industrial supply chains. Our mission is to build "Allied Industrial Sovereignty" by architecting a new, resilient, and technologically superior domestic industrial base from first principles.

We are the first company to market with a completely quantum-simulated LLM ("HighNoon"). We are now looking for a research and development partner to lead the next evolution of this foundational technology.

You will be joining a founding team of established leaders—"big league hitters" who have collectively closed over $4B in deals. We are looking for a true partner, not an employee. If the notion of building a foundational industrial asset for the United States and its allies resonates with you, read on.

The Role: Architect of the "HighNoon" LLM

As our Founding AI Researcher, you will be the master architect and owner of our proprietary "HighNoon" LLM.

This is not a standard transformer. Internally known as our Hierarchical State-Space Memory Network (HSMN), this is a revolutionary, physics-informed model designed from first principles for industrial and complex systems. Our architecture deeply integrates:

• Hamiltonian Neural Networks (HNNs): "Time Crystal" recurrent blocks that ensure the preservation of learned energy-like quantities for stable, long-term sequence modeling.
• Quantum-Inspired Graph Learning: A novel implementation of Continuous-Time Quantum Walks (CTQW) for high-speed information propagation across complex graph structures.
• Advanced State-Space Models: A hybrid reasoning engine combining Mamba-style SSMs with a novel Tensorized Expert Superposition (TES) framework.
• Adaptive Control Theory: A unique meta-controller that uses Kalman filtering and online system identification to dynamically adapt model parameters.

Your mandate is to lead the R&D of this architecture and drive its application across the entire Verso ecosystem—from our "Forge" industrial marketplace to our "Intelligent Hardware" on the factory floor.

Key Problems You Will Solve

This is a hands-on-keyboard role for a true researcher-developer. Your roadmap will include:

• Phase 1: The Quantum Tokenizer: Lead the design, development, and implementation of the next phase of HighNoon: a novel, quantum-inspired and simulated tokenizer.
• Architecture & Optimization: Evolve the core HSMN architecture, optimizing the interplay between its HNN, CTQW, and SSM compigh-Performance Code: Expert-level Python (TensorFlow/PyTorch) and strong C++ for custom op development.
• Control Theory (Bonus): Familiarity with classical control theory (Kalman filters, MPC, system identification) is a significant plus.

The Opportunity

• This is a co-founding partnership. This position is equity-only (sweat equity) for a true partner who is vested in our long-term vision.
• You will join a team of world-class business and sales ecosystem architects and hold a substantial equity stake(7-10%) commensurate with a founder's role. A negotiable salary will be introduced as soon as we achieve revenue milestones.
• The ultimate reward is the rare opportunity to build a foundational piece of 21st-century industrial infrastructure and to own the revolutionary AI at its very heart.
• This is a defining challenge for a career. Let's build.Custom Operations: Develop, debug, and optimize high-performance custom TensorFlow/PyTorch operators (in C++/CUDA) for our fused quantum, Hamiltonian, and reasoning layers.
• Application & Integration: Collaborate directly with the Founding CTO to apply HighNoon to our core business challenges: modeling complex supply chains, simulating manufacturing processes, and deploying on-device AI for real-time quality control.
• Research Leadership: Stay at the absolute bleeding edge of quantum simulation, physics-informed AI, and SSMs, guiding our technical strategy as you build the model.

Who You Are: The Partner We're Searching For

We are looking for a pragmatic visionary defined by a specific mindset, not a checklist of languages.

• A True Researcher-Developer: You are equally energized by drafting a theoretical paper and by profiling a low-level C++ operation.
• A Polymathic Systems Thinker: You see the connection between a quantum walk on a graph and a real-world supply chain. You are excited to build a model that learns from and controls physical systems.
• Mission-Aligned: You are compelled by the formidable technical challenge, but more so by the mission to rebuild our industrial base.
• Credible & Hands-On: You have provable experience in several of the following areas:
• Deep Learning: Expert-level knowledge of modern LLM architectures (Transformers, State-Space Models like Mamba, Mixture-of-Experts).
• Physics-Informed ML: Demonstrable experience with concepts like Hamiltonian/Lagrangian Neural Networks, symplectic integrators, or similar principles.
• Quantum Computing/Simulation: A strong background in quantum-inspired algorithms, quantum simulation (like CTQWs or VQCs), or quantum machine learning.
• High-Performance Code: Expert-level Python (TensorFlow/PyTorch) and strong C++ for custom op development.
• Control Theory (Bonus): Familiarity with classical control theory (Kalman filters, MPC, system identification) is a significant plus.

The Opportunity

This is a co-founding partnership. This position is equity-only (sweat equity) for a true partner who is vested in our long-term vision.

You will join a team of world-class business and sales ecosystem architects and hold a substantial equity stake commensurate with a founder's role. A negotiable salary will be introduced as soon as we achieve revenue milestones. You will also join our co founder Dinu John, who is our CTO and Michael Zimmerman, The CEO and creator of the HSMN architect.

The ultimate reward is the rare opportunity to build a foundational piece of 21st-century industrial infrastructure and to own the revolutionary AI at its very heart.

This is a defining challenge for a career. Let's build.