Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Systems Architect to design next-generation hybrid quantum-classical computing platforms. This role bridges theoretical physics and practical AI deployment, enabling breakthroughs in drug discovery, climate modeling, and autonomous systems. You'll lead a cross-disciplinary team of quantum physicists, machine learning engineers, and hardware specialists in creating fault-tolerant quantum neural networks.
What You'll Accomplish: Architect scalable quantum-AI integration frameworks, pioneer error-corrected quantum algorithms, and publish breakthrough research in Nature Quantum. Enjoy unparalleled resources, including access to our 1000-qubit quantum annealer and partnership with leading research institutions.
Responsibilities
- Design hybrid quantum-classical neural network architectures for real-time decision systems
- Develop error-correction protocols for quantum AI training pipelines
- Lead quantum machine learning algorithm optimization for 10x computational speedups
- Collaborate with hardware teams to co-design quantum-AI accelerator chips
- Establish quantum security protocols for AI model protection
- Mentor researchers in quantum machine learning methodologies
- Translate theoretical quantum computing models into deployable AI solutions
Qualifications
- PhD in Quantum Computing, Physics, or Computational Science (5+ years industry experience)
- Published research in quantum machine learning or quantum algorithms
- Expertise in quantum circuit design and fault-tolerant architectures
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Deep understanding of quantum entanglement applications in AI
- Experience with high-performance computing and distributed quantum systems
- Track record of leading technical teams through complex R&D projects
- Strong knowledge of quantum decoherence mitigation techniques