Job Description
Shape the future at FutureTech Innovations, where quantum computing meets artificial intelligence. We're seeking visionary Quantum AI Research Scientists to pioneer breakthrough technologies that will redefine computing by 2026. Join our elite team of Nobel-caliber researchers in a state-of-the-art facility with unlimited resources and collaborative freedom.
As a pioneer in quantum neural networks, you'll develop hybrid quantum-classical algorithms solving previously unsolvable problems in drug discovery, climate modeling, and cryptography. Our culture values audacious innovation, with 20% time allocated for moonshot projects and quarterly offsite hackathons at our Swiss Alps research campus.
Responsibilities
- Design and implement quantum neural network architectures for AI acceleration
- Develop hybrid quantum-classical machine learning frameworks
- Lead cross-functional teams of physicists, computer scientists, and domain experts
- Publish breakthrough research in Nature/Science journals
- Secure $2M+ in annual research grants from DARPA and NSF
- Prototype quantum algorithms on 1000+ qubit systems
- Mentor PhD candidates through our Quantum Fellows program
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or AI with 5+ years research
- Published 10+ papers in top-tier quantum/AI journals
- Expertise in Qiskit, Cirq, and quantum circuit optimization
- Proficiency in tensor networks and quantum error correction
- Experience with quantum machine learning frameworks (PennyLane, TensorFlow Quantum)
- Track record of securing government/industry research funding
- Deep understanding of quantum advantage thresholds for 2026-era hardware