Job Description
Join NeuroFusion Labs at the forefront of quantum-AI convergence to redefine computational boundaries by 2026. We seek visionary researchers to develop next-generation quantum neural networks that solve previously impossible problems in medicine, climate modeling, and autonomous systems. Work in our state-of-the-art Austin facility with direct access to IBM Quantum and NVIDIA's latest hardware.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Lead cross-functional teams to prototype hybrid quantum-classical systems
- Publish breakthrough research in Nature/Science journals
- Collaborate with MIT and Caltech on quantum error correction protocols
- Secure $5M+ in DARPA/NASA grants for 2026 technology roadmap
Qualifications
- PhD in Quantum Computing, AI, or related field (2020-2026)
- Published research in top-tier quantum/AI conferences
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum
- Experience with D-Wave 5000+ quantum annealers
- Track record of scaling algorithms to 1000+ qubits
- Patents in quantum machine learning (preferred)