Job Description
Join Nexus Futures at the forefront of technological evolution as we pioneer the next generation of AI-driven quantum systems. As our Quantum AI Infrastructure Lead, you'll architect hybrid quantum-classical frameworks that redefine computational boundaries. This role sits at the intersection of quantum physics, machine learning, and distributed systems, offering unparalleled opportunities to shape humanity's technological horizon.
We're seeking visionary engineers to build fault-tolerant quantum processors, optimize quantum neural networks, and develop novel error-correction algorithms. You'll collaborate with Nobel-caliber researchers and deploy solutions that solve previously intractable problems in cryptography, drug discovery, and climate modeling.
Responsibilities
- Design scalable quantum AI architectures integrating superconducting qubits with classical ML pipelines
- Develop fault-tolerant quantum error correction codes for 1000+ qubit systems
- Lead implementation of hybrid quantum-classical optimization frameworks
- Research quantum neural network topologies for exponential speedups
- Architect cryogenic control systems with sub-10 microsecond latency
- Establish quantum security protocols for next-gen cryptographic systems
- Mentor cross-disciplinary teams in quantum-computing fundamentals
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or equivalent experience
- Expertise in quantum circuit design and quantum machine learning frameworks
- Proficiency with Cirq, Qiskit, or quantum assembly languages
- Deep understanding of quantum error correction and fault tolerance
- Published research in Nature/Science or top-tier quantum conferences
- Experience with cryogenic engineering and quantum hardware interfaces
- Strong background in distributed systems and high-performance computing