Job Description
Join the forefront of technological revolution at Nexus Quantum Labs, where we're pioneering the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Lead, you'll architect next-generation algorithms that solve previously impossible computational challenges. Our state-of-the-art facility in San Francisco's tech epicenter offers unparalleled resources to transform theoretical concepts into real-world breakthroughs.
We're seeking visionary researchers to lead cross-functional teams in developing quantum neural networks, hybrid quantum-classical systems, and error-correction frameworks. This role offers the rare opportunity to shape the future of computing while collaborating with Nobel laureates and industry pioneers.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Lead R&D initiatives in quantum error correction and fault-tolerant computing
- Collaborate with AI engineers to develop hybrid quantum-classical frameworks
- Publish cutting-edge research in peer-reviewed journals and top-tier conferences
- Mentor PhD researchers and drive innovation in quantum neural network architectures
- Secure patents and translate research into commercial applications
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 5+ years research experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's) and quantum circuit design
- Proficiency in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Publication record in Nature/Science or top-tier quantum/AI conferences
- Experience with high-performance computing and GPU acceleration
- Demonstrated leadership in managing cross-disciplinary research teams
- Strong background in machine learning and deep learning architectures