Job Description
Shape the future of human-machine interaction at Nexus Futura Systems. We're pioneering quantum-AI hybrid systems that redefine computational boundaries for 2026 and beyond. As our Quantum AI Infrastructure Engineer, you'll architect next-generation neural networks operating on quantum substrates while maintaining classical scalability.
Join our interdisciplinary team of physicists, AI researchers, and hardware architects in building systems that process exascale workloads while maintaining quantum coherence. This role bridges theoretical breakthroughs with real-world deployment in autonomous systems, biotech simulations, and climate modeling.
Responsibilities
- Design quantum-classical hybrid computing architectures for 2026-era AI workloads
- Develop error-correction protocols for quantum neural networks at scale
- Implement fault-tolerant quantum circuits for machine learning acceleration
- Create optimization algorithms for quantum-AI hybrid training pipelines
- Lead integration of quantum processors with classical HPC infrastructure
- Develop security frameworks for quantum-encrypted AI models
- Collaborate on patentable quantum-AI hybrid system architectures
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 5+ years experience with quantum algorithms and circuit design
- Proficiency in quantum programming languages (Qiskit, Cirq, or Quipper)
- Expertise in distributed systems and high-performance computing
- Published research in quantum machine learning or quantum information theory
- Strong background in Python/C++ and GPU acceleration frameworks
- Experience with quantum hardware integration (IBM Quantum, Rigetti, or IonQ)
- Understanding of quantum error correction codes (surface, LDPC, etc.)