Job Description
Are you ready to architect the bridge between biological cognition and quantum processing? Nexus Future Systems is pioneering the next generation of human-machine symbiosis, and we are seeking a visionary Senior AI & Quantum Interface Engineer to lead our R&D division.
As we approach the 2026 technological paradigm shift, we are moving beyond silicon to build systems that think and interact at the speed of light. You will be responsible for designing the neural architectures that allow humans to seamlessly interface with advanced quantum computing clusters.
Why join us?
- Work on cutting-edge technology that defines the post-silicon era.
- Competitive equity package and a culture of radical innovation.
- Top-tier talent from Google DeepMind, SpaceX, and OpenAI.
Responsibilities
- Architect Quantum-Neural Networks: Design and implement novel neural architectures optimized for quantum annealers and superconducting qubits.
- Interface Protocols: Develop low-latency, bi-directional communication protocols between human cognition and quantum logic cores.
- Model Optimization: Translate classical machine learning models into quantum circuits while maintaining high fidelity and accuracy.
- UX Engineering: Collaborate with neuro-ergonomics experts to create intuitive feedback loops for real-time data visualization in AR/VR environments.
- Security & Compliance: Implement rigorous encryption standards for quantum communication channels to protect user privacy in the 2026 landscape.
- Research Leadership: Publish high-impact papers and contribute to open-source quantum computing frameworks.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Quantum Physics, Computational Neuroscience, or a related field.
- Technical Expertise: Proven experience with quantum computing frameworks (Qiskit, Cirq, or Pennylane) and deep learning libraries (TensorFlow, PyTorch).
- Experience: Minimum of 5 years of experience in AI/ML engineering, with a focus on generative models or reinforcement learning.
- Innovation: Demonstrated history of working on emerging technologies and the ability to thrive in a fast-paced, undefined environment.
- Programming: Proficiency in Python, C++, and CUDA.
- Communication: Exceptional ability to translate complex technical concepts for cross-functional teams and stakeholders.