Job Description
Welcome to the future of technology. At OmniFuture Systems, we are not just predicting the year 2026; we are actively engineering the reality of it. We are looking for a Lead Quantum-Neural Architect to pioneer the convergence of quantum computing and biological neural networks.
In this role, you will be responsible for designing the next generation of hybrid processing units that bridge the gap between human cognition and machine intelligence. You will work in a state-of-the-art facility in the heart of San Francisco, pushing the boundaries of what is possible in AI and computational physics.
Responsibilities
- Design and implement scalable quantum algorithms optimized for neural network training and inference.
- Lead the architectural vision for integrating quantum processing units (QPUs) with classical silicon infrastructure.
- Collaborate with cross-functional teams of physicists, neuroscientists, and software engineers to refine bio-intuitive interfaces.
- Ensure system integrity, security, and ethical compliance in the deployment of sentient-level AI models.
- Conduct rigorous research to identify emerging quantum technologies applicable to deep learning architectures.
Qualifications
- Ph.D. in Computer Science, Physics, or a related field with a focus on Quantum Mechanics or Neural Networks.
- 10+ years of experience in high-level software engineering, specifically in AI/ML and distributed systems.
- Proven expertise in quantum computing frameworks such as Qiskit, Cirq, or PyQuil.
- Deep understanding of machine learning architectures, including Transformers and Recurrent Neural Networks.
- Experience with hardware-software co-design and low-level optimization (C++, CUDA).
- Exceptional leadership skills with a track record of mentoring high-performing technical teams.