Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI fusion systems that will redefine computing paradigms. As a Quantum AI Systems Architect, you'll architect next-gen neural-quantum hybrid platforms for Fortune 500 clients. This role demands visionaries who thrive at the intersection of quantum mechanics, machine learning, and distributed systems. Enjoy unparalleled R&D resources, flexible work arrangements, and equity in a pre-IPO unicorn shaping humanity's digital future.
Responsibilities
- Design fault-tolerant quantum-AI hybrid architectures using Qiskit and TensorFlow Quantum
- Lead cross-disciplinary teams in prototyping neural-quantum computing prototypes
- Develop error-correction algorithms for 1000+ qubit systems
- Optimize quantum machine learning pipelines for real-time inference
- Architect secure federated learning networks across quantum nodes
- Research cutting-edge quantum algorithms for unsupervised learning
- Collaborate with MIT and Stanford on quantum-AI convergence projects
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (MS with exceptional experience)
- 5+ years architecting distributed systems at scale (AWS/GCP/Azure)
- Expertise in quantum programming (Q#, Qiskit, Cirq) and deep learning frameworks
- Published research in quantum machine learning or top-tier conferences
- Strong background in error correction and fault-tolerant quantum computing
- Experience with quantum hardware (IBM Quantum, Rigetti, IonQ)
- Ability to translate complex quantum concepts into business applications