Job Description
Join Nexus Future Labs at the forefront of 2026-ready technology ecosystems. We're seeking a visionary Quantum Infrastructure Lead to architect next-gen computational frameworks that will redefine industries. This role demands a blend of quantum computing expertise, distributed systems mastery, and futuristic innovation mindset. You'll pioneer hybrid quantum-classical architectures while mentoring a multidisciplinary team pushing the boundaries of computational possibility.
Our lab operates at the intersection of theoretical physics and practical deployment, with projects spanning quantum-resistant cryptography, AI-accelerated quantum simulations, and autonomous infrastructure orchestration. This position reports directly to our CTO and offers unparalleled influence on shaping humanity's technological trajectory.
Responsibilities
- Design and deploy hybrid quantum-classical computing infrastructure for enterprise-scale applications
- Lead R&D initiatives in quantum error correction and fault-tolerant system architecture
- Develop predictive models for quantum threat landscapes and mitigation protocols
- Collaborate with AI research teams to integrate quantum acceleration into machine learning pipelines
- Architect decentralized quantum networks with zero-trust security frameworks
- Mentor cross-functional teams in quantum principles and adaptive system design
- Define 2026 quantum readiness standards for critical infrastructure sectors
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years industry experience
- Proven expertise in quantum gate modeling and circuit optimization
- Deep knowledge of distributed systems architectures (Kubernetes, Apache Spark)
- Published research in quantum error correction or topological quantum computing
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Experience with high-performance computing clusters and GPU acceleration
- Certification in quantum security protocols (e.g., NIST quantum-resistant cryptography standards)
- Demonstrated ability to translate theoretical concepts into production-ready systems