Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering quantum-AI fusion systems to redefine computing by 2026. As our Quantum AI Research Lead, you'll architect next-gen algorithms that bridge quantum mechanics and artificial intelligence, solving previously unsolvable challenges in cryptography, material science, and autonomous systems.
Our state-of-the-art lab in San Francisco offers unparalleled resources for breakthrough research, including access to 128-qubit quantum processors and proprietary AI neural networks. We're seeking visionaries who thrive at the intersection of physics and machine learning to shape humanity's technological horizon.
Responsibilities
- Design and implement hybrid quantum-AI algorithms for computational advantage
- Lead cross-functional teams of physicists, ML engineers, and hardware specialists
- Develop error-correction protocols for quantum-AI integration systems
- Collaborate with academic institutions on quantum supremacy benchmarks
- Secure patents for novel quantum machine learning methodologies
- Present findings at premier conferences like IEEE Quantum Week
- Mentor researchers in quantum information theory applications
Qualifications
- PhD in Quantum Computing, Physics, or AI with 5+ years research experience
- Published work in quantum machine learning or quantum algorithms
- Expertise in quantum programming languages (Qiskit, Cirq) and Python frameworks
- Strong background in tensor networks and quantum circuit optimization
- Proven track record of leading high-impact research projects
- Experience with superconducting or photonic quantum systems
- Deep understanding of quantum error correction and fault tolerance