Job Description
Join Nexus Future Technologies at the forefront of 2026's quantum-AI revolution. We're pioneering next-gen computational paradigms that will redefine industries. As our Quantum AI Research Lead, you'll architect hybrid quantum-neural systems, pushing the boundaries of what's computationally possible. This role offers unparalleled resources and a collaborative environment where your work directly shapes humanity's technological future.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for real-world applications
- Lead cross-functional teams in developing error-corrected quantum processors
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with government agencies on quantum security frameworks
- Mentor PhD researchers and junior quantum engineers
- Drive commercialization of quantum-AI solutions for finance and healthcare sectors
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years industry experience
- Expertise in quantum machine learning frameworks (e.g., PennyLane, Qiskit)
- Proven track record of publishing in Nature/Science journals
- Strong background in superconducting qubit architectures
- Experience securing federal R&D grants (DARPA, NSF)
- Proficiency in Python, C++, and quantum assembly languages