Job Description
Step into the future with Nexus Labs as we pioneer the next frontier of technology in 2026. We're seeking a visionary Quantum AI Research Scientist to architect breakthrough systems that merge quantum computing with artificial intelligence. Join our elite team in San Francisco to develop revolutionary algorithms, optimize quantum neural networks, and solve previously unsolvable computational challenges. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art research facility, pushing the boundaries of what's possible in quantum machine learning. This isn't just a job—it's your chance to shape humanity's technological trajectory.
We offer competitive equity packages, flexible work arrangements, and unparalleled resources including our 512-qubit quantum annealing array. Your work will directly impact fields from drug discovery to climate modeling, with opportunities to publish in Nature and lead patent portfolios. If you're ready to transform theoretical possibilities into tangible realities, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical neural network architectures with 99.9% fidelity
- Lead cross-functional teams in prototyping quantum AI applications for enterprise clients
- Author peer-reviewed research papers on quantum supremacy in AI domains
- Optimize quantum circuit compilation for next-generation hardware platforms
- Drive innovation in quantum error correction techniques for practical deployment
- Mentor junior researchers in quantum computing best practices
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning from Tier 1 institution
- 3+ years hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum information theory
- Expertise in tensor networks and quantum circuit optimization
- Proficiency with high-performance computing environments (HPC, GPU clusters)
- Strong background in linear algebra, probability theory, and statistical mechanics
- Track record of translating complex quantum concepts into practical applications