Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're pioneering quantum-AI hybrid systems that will redefine computational paradigms by 2026. As a Quantum AI Systems Architect, you'll design next-gen neural networks that leverage quantum entanglement for exponential speedups in machine learning and data processing. Our multidisciplinary team combines Nobel-level physics expertise with deep AI innovation in a collaborative, future-focused environment.
This role offers unparalleled opportunities to shape emerging technologies while working alongside world-renowned researchers in our state-of-the-art quantum computing lab. We provide comprehensive benefits including equity, flexible work arrangements, and dedicated research budgets.
Responsibilities
- Design and implement quantum-AI hybrid architectures for machine learning acceleration
- Develop error-correction protocols for quantum neural networks
- Lead cross-functional teams in prototyping quantum-entangled AI systems
- Optimize quantum algorithms for real-world enterprise applications
- Collaborate with hardware teams to integrate quantum processors with classical AI stacks
- Publish research in top-tier quantum computing and AI journals
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum algorithms (Shor, Grover, QAOA) and quantum error correction
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#) and frameworks
- Strong background in deep learning frameworks (TensorFlow, PyTorch)
- Published research in quantum machine learning or quantum information theory
- Experience with superconducting or photonic quantum computing hardware
- Demonstrated ability to lead complex technical projects from concept to deployment