Job Description
Join Nexus Labs at the forefront of 2026's technological revolution. We're seeking a pioneering Quantum AI Research Scientist to architect the next generation of hybrid quantum-neural systems. Shape the future by solving previously impossible computational challenges in cryptography, climate modeling, and drug discovery. Our state-of-the-art quantum lab offers unparalleled resources to transform theoretical breakthroughs into real-world applications.
Responsibilities
- Design and implement quantum algorithms integrated with neural networks for exponential computational gains
- Lead cross-functional teams in developing quantum-optimized AI models for 2026-era challenges
- Drive research in quantum error correction and fault-tolerant computing systems
- Collaborate with hardware teams to prototype quantum-AI hybrid architectures
- Publish breakthrough findings in Nature/Science journals and present at global tech summits
- Secure $10M+ in quantum computing grants from NSF/DARPA initiatives
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq) and frameworks (TensorFlow Quantum)
- Proven track record of peer-reviewed quantum computing research (3+ papers in top-tier journals)
- Deep understanding of quantum entanglement, superposition, and decoherence principles
- Experience with quantum hardware providers (IBM Quantum, Rigetti, IonQ)
- Strong background in high-performance computing and distributed systems
- Exceptional problem-solving skills for NP-hard computational problems