Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms that redefine computational boundaries in cryptography, drug discovery, and climate modeling. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resourcesâincluding 128-qubit quantum processors and exascale AI clustersâto accelerate your research.
We value disruptive thinkers who thrive at the intersection of theoretical physics and machine learning. You'll collaborate with Nobel laureates and Turing Award winners in an environment where your work directly impacts global industries. Our benefits include equity grants, unlimited learning stipends, and flexible remote options with quarterly in-person innovation sprints.
Responsibilities
- Design and implement quantum machine learning algorithms for exponential computational advantage
- Lead cross-functional teams to develop hybrid quantum-classical neural networks
- Author peer-reviewed publications in Nature/Science journals
- Architect fault-tolerant quantum circuits for enterprise applications
- Partner with MIT and Stanford on quantum-AI integration projects
- Mentor PhD candidates in quantum information science
- Secure $5M+ in DARPA/NASA research grants
Qualifications
- PhD in Quantum Computing, Physics, or Machine Learning (or equivalent experience)
- Published work in quantum machine learning or quantum algorithms
- Proficiency in Qiskit, Cirq, or PennyLane frameworks
- Expertise in tensor networks and quantum error correction
- 3+ years of experience with high-performance computing clusters
- Deep understanding of quantum supremacy benchmarks
- Strong background in Python, Rust, or C++ for quantum simulation