Job Description
Shape the technological frontier at Nexus Futuristics. We're seeking visionary Quantum AI Research Scientists to pioneer breakthroughs that will redefine 2026's digital landscape. Join our elite team developing next-gen algorithms at the intersection of quantum computing, machine learning, and theoretical physics. This role offers unparalleled resources to transform abstract concepts into tangible innovations.
Your work will directly influence the next generation of autonomous systems, secure communication protocols, and computational paradigms. We provide competitive equity packages, flexible hybrid arrangements, and a state-of-the-art laboratory environment where curiosity meets cutting-edge technology.
Responsibilities
- Design and implement novel quantum machine learning algorithms for 2026-era computational challenges
- Lead research initiatives in quantum-resistant cryptography and post-quantum security frameworks
- Develop hybrid quantum-classical neural architectures for exponential computational efficiency
- Collaborate with MIT/Stanford research partners on 5-year technology roadmaps
- Translate theoretical breakthroughs into scalable production-ready quantum software solutions
- Author high-impact publications for Nature Quantum and IEEE Quantum journals
- Mentor cross-disciplinary teams of physicists, engineers, and data scientists
Qualifications
- PhD in Quantum Computing, Machine Learning, or Theoretical Physics (or equivalent experience)
- 3+ years developing quantum algorithms on hardware platforms like Rigetti or IBM Q
- Publication record in top-tier quantum/AI conferences (QIP, NeurIPS, etc.)
- Expertise in Qiskit, Cirq, or quantum circuit optimization frameworks
- Strong background in topological quantum computing or fault-tolerant architectures
- Proven experience translating research into commercial applications
- Deep understanding of quantum supremacy thresholds and error correction methods
- Portfolio demonstrating work on quantum-classical hybrid systems