Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. As our 2026 Quantum AI Research Lead, you'll architect breakthrough solutions that redefine computational boundaries. We offer unparalleled resources, collaborative environments with Nobel laureates, and equity in a company valued at $2B+. This role includes relocation stipends and flexible remote work options.
Responsibilities
- Lead cross-functional teams in developing quantum-AI algorithms for 2026-era applications
- Secure $5M+ in federal research grants for quantum computing initiatives
- Publish 3+ groundbreaking papers in Nature/Science journals annually
- Collaborate with MIT and CERN on next-gen quantum encryption protocols
- Mentor PhD candidates in quantum machine learning specializations
- Translate theoretical models into scalable production-ready systems
- Represent company at Davos and World Economic Forums on quantum ethics
Qualifications
- PhD in Quantum Computing or Theoretical Physics with 8+ years industry experience
- Published record in quantum supremacy demonstrations
- Expertise in Qiskit, Cirq, and quantum error correction methodologies
- Proven track record securing DARPA/NSF quantum research funding
- Deep understanding of quantum-AI hybrid architectures (e.g., QML, VQE)
- Patents in quantum machine learning or topological quantum computing
- Fluency in Python, TensorFlow Quantum, and C++ for quantum simulators
- Experience leading international quantum research consortia