Job Description
Join NeuraFuture Labs at the forefront of 2026's quantum-AI revolution! We're pioneering next-generation quantum neural networks that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect hybrid quantum-classical systems to solve previously unsolvable problems in drug discovery, climate modeling, and autonomous systems. Our state-of-the-art lab features 1000+ qubit processors and collaborative partnerships with NASA and MIT. Enjoy cutting-edge resources, flexible hybrid work, and equity in a company valued at $2B+.
Responsibilities
- Design quantum algorithms for machine learning optimization and large-scale data processing
- Develop error-correction protocols for quantum neural networks
- Collaborate with hardware engineers to optimize quantum-AI hybrid systems
- Publish breakthrough research in Nature/Science journals
- Mentor cross-functional teams in quantum-computing principles
- Secure $1M+ in annual research grants from NSF and DARPA
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years developing quantum algorithms or quantum machine learning models
- Expertise in Qiskit, Cirq, or quantum circuit optimization frameworks
- Published research in quantum machine learning or quantum information theory
- Proficiency in Python, TensorFlow, and quantum simulation tools
- Experience with high-performance computing (HPC) clusters