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 frameworks. As a key innovator in our Palo Alto R&D division, you'll bridge quantum hardware breakthroughs with AI neural networks to solve humanity's most complex challenges. This role offers unparalleled opportunities to publish research in Nature Physics, collaborate with Nobel laureates, and shape the quantum-AI convergence landscape.
Why Nexus Quantum Labs? We provide competitive equity packages, unlimited research budgets, and access to IBM's quantum cloud infrastructure. Our cross-disciplinary teams combine expertise from MIT, Stanford, and CERN to accelerate quantum advantage in drug discovery, climate modeling, and financial optimization.
Responsibilities
- Design hybrid quantum-AI architectures for real-world deployment
- Develop error-correction protocols for 1000+ qubit systems
- Create quantum machine learning algorithms for predictive analytics
- Lead cross-functional teams of quantum physicists and ML engineers
- Secure patents for novel quantum-AI integration methodologies
- Present findings at IEEE Quantum Computing Symposiums
- Mentor PhD candidates in quantum-computing bootcamps
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 5+ years implementing quantum algorithms on real hardware
- Expertise in Qiskit, Cirq, and quantum error correction
- Publication record in Nature/Science journals
- Proficiency in Python, TensorFlow Quantum, and CUDA
- Experience with quantum annealing systems (D-Wave, Rigetti)
- Clearance for DOE quantum security protocols