Job Description
Join Nexus Innovations at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Systems Architect to design the next generation of hybrid quantum-neural computing frameworks. This role bridges theoretical physics and applied machine learning to solve previously impossible computational challenges. You'll architect scalable systems that redefine industries from drug discovery to climate modeling, working with Nobel laureates and industry pioneers in our state-of-the-art quantum lab.
Our team operates at the intersection of quantum mechanics and artificial intelligence, developing proprietary algorithms that process exabyte-scale datasets in real-time. You'll influence the future of computational paradigms while mentoring a multidisciplinary team of physicists, engineers, and data scientists.
Responsibilities
- Design fault-tolerant quantum AI architectures for enterprise-scale deployment
- Develop hybrid quantum-classical machine learning pipelines for predictive analytics
- Lead quantum algorithm optimization for NISQ-era hardware limitations
- Collaborate with quantum hardware teams to co-design error-correction protocols
- Translate complex quantum concepts into actionable business solutions
- Establish security frameworks for quantum-resistant cryptography systems
- Pioneer new quantum neural network architectures for pattern recognition
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics
- 5+ years experience in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum information theory or quantum AI
- Expertise in high-performance computing architectures and parallel processing
- Deep understanding of quantum error correction and fault tolerance
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Track record of translating quantum research into commercial applications