Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Engineers to pioneer the next generation of hybrid quantum-classical systems. In this role, you'll architect solutions that bridge quantum computing's exponential potential with artificial intelligence's transformative capabilities. Our state-of-the-art facility in San Francisco offers unparalleled resources, including 1000-qubit quantum processors and dedicated AI superclusters. Collaborate with Nobel laureates and Turing Award winners to solve humanity's most complex challenges across drug discovery, climate modeling, and autonomous systems.
Responsibilities
- Design and implement quantum neural networks for AI acceleration
- Develop hybrid quantum-classical algorithms for optimization problems
- Lead experimental validation of quantum supremacy benchmarks
- Create error mitigation protocols for fault-tolerant quantum systems
- Author breakthrough research papers in Nature/Science journals
- Mentor interdisciplinary teams of physicists and machine learning experts
- Secure $10M+ in government/industry research grants
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning (or equivalent experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in tensor networks and quantum circuit optimization
- Experience with high-performance computing frameworks (CUDA, TensorFlow Quantum)
- Strong background in quantum error correction and fault tolerance
- Demonstrated ability to translate theoretical models into practical implementations