Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking a visionary Quantum AI Research Engineer to pioneer the convergence of quantum computing and artificial intelligence. In this role, you'll develop hybrid quantum-neural algorithms that solve previously impossible computational challenges across drug discovery, climate modeling, and materials science. Our state-of-the-art lab in San Francisco offers unparalleled resources including 1000-qubit processors and exclusive partnerships with MIT and Caltech. This is your chance to shape the future of computational science.
Responsibilities
- Design and implement quantum neural networks for real-world optimization problems
- Develop error-corrected quantum algorithms for machine learning acceleration
- Collaborate with physicists to integrate quantum hardware with classical AI systems
- Publish breakthrough research in Nature/Science journals
- Lead cross-functional teams of quantum physicists and ML engineers
- Secure multi-million dollar research grants from DARPA and NSF
Qualifications
- PhD in Quantum Computing, Physics, or AI with 3+ years industry experience
- Expertise in quantum programming (Qiskit, Cirq) and ML frameworks (PyTorch)
- Published research in top-tier quantum/AI conferences (QIP, NeurIPS)
- Deep understanding of quantum error correction and fault tolerance
- Experience with quantum hardware platforms (Rigetti, IBM Quantum)
- Strong background in linear algebra, probability, and information theory