Job Description
Shape the future by pioneering quantum-AI hybrid systems at Nexus Quantum Labs. We're revolutionizing computational paradigms for 2026 and beyond. Join our elite team to develop next-gen algorithms that solve previously impossible problems in cryptography, material science, and climate modeling.
This role offers unparalleled resources, including access to quantum annealing hardware and AI supercomputing clusters. You'll collaborate with Nobel laureates and publish breakthrough research in Nature and Science journals.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for complex optimization problems
- Lead cross-functional teams of physicists, ML engineers, and domain experts
- Develop fault-tolerant quantum error correction protocols for real-world applications
- Secure $5M+ in research grants and patents
- Mentor PhD researchers and publish 2+ high-impact papers annually
- Architect quantum cloud infrastructure serving Fortune 100 clients
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years developing quantum algorithms or quantum machine learning models
- Proficiency with Qiskit, Cirq, or quantum annealing frameworks
- Published research in quantum computing or AI (Nature/Science preferred)
- Expertise in Python, TensorFlow/PyTorch, and low-level quantum assembly
- Experience securing federal grants (NSF, DOE, DARPA)
- Strong background in topological quantum error correction