Job Description
Join NeuroQuantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen computational frameworks that bridge quantum mechanics and artificial intelligence. Our state-of-the-art facility offers unparalleled resources, including 128-qubit processors and neural-quantum hybrid systems. Collaborate with Nobel laureates and disrupt industries from drug discovery to climate modeling. This isn't just a role—it's your chance to shape the computational paradigm of tomorrow.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Develop hybrid quantum-classical neural networks with 1000+ qubit capabilities
- Lead breakthrough research in quantum error correction for AI scalability
- Architect fault-tolerant quantum processors optimized for deep learning workloads
- Pioneer real-time quantum-AI interfaces for autonomous systems
- Collaborate with cross-quantum teams to commercialize 2026 patent-pending technologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum algorithms (Shor's, Grover's, QML) with 5+ years applied research
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Publication record in Nature/Science quantum-AI research (2020-2025)
- Experience with 100+ qubit system integration and calibration
- Mastery of Python/C++ with quantum computing libraries
- Demonstrated ability to lead multi-disciplinary quantum projects