Job Description
Shape the future of artificial intelligence by designing next-generation quantum neural networks. Nexus Quantum Solutions seeks a pioneering Quantum AI Architect to develop hybrid quantum-classical systems that will redefine machine learning capabilities by 2026. Join our interdisciplinary team at the intersection of quantum computing, AI ethics, and distributed systems.
This role offers unparalleled opportunities to publish breakthrough research, collaborate with Nobel laureates, and influence industry standards for quantum-safe AI applications.
Responsibilities
- Design and implement quantum algorithms for neural network acceleration
- Develop hybrid quantum-classical ML frameworks for enterprise applications
- Lead research initiatives in quantum error correction for AI systems
- Collaborate with hardware teams to optimize quantum-AI co-design
- Establish quantum security protocols for AI model deployment
- Mentor junior researchers in quantum machine learning methodologies
- Present findings at premier conferences and publish in Nature/Science journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years developing quantum algorithms for ML/AI applications
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Published research in quantum machine learning or related fields
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Strong understanding of quantum error correction and fault tolerance
- Experience with distributed quantum computing architectures