Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms merging quantum computing with machine learning to solve humanity's most complex challenges. Our state-of-the-art facility in San Francisco offers unparalleled resources for breakthrough research in cryptography, materials science, and autonomous systems.
We foster a culture of radical innovation where your expertise in quantum mechanics and neural networks will shape the future. Collaborate with Nobel laureates and Turing Award winners in our 24/7 quantum labs, equipped with the world's most advanced qubit processors. Your work will directly impact breakthroughs in climate modeling, drug discovery, and secure communications.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational frameworks
- Lead cross-functional teams in developing hybrid quantum-classical neural networks
- Optimize qubit architectures for real-time AI training and inference
- Publish peer-reviewed research in top-tier journals and conferences
- Secure $1M+ in R&D funding through grant proposals and industry partnerships
- Mentor PhD candidates in quantum computing and AI ethics
- Collaborate with government agencies on quantum security protocols
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years industry experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants) and deep learning frameworks
- Proven track record of publishing in Nature/Science or equivalent top-tier journals
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Experience with superconducting qubit systems or photonic quantum processors
- Strong background in computational complexity theory and quantum error correction
- Ability to translate theoretical concepts into scalable production systems