Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing, cryptography, and machine learning. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop scalable quantum algorithms and neural network integrations. Our state-of-the-art facility in San Francisco offers unparalleled resources for groundbreaking research with real-world applications in medicine, finance, and climate science.
We provide competitive equity packages, flexible work arrangements, and access to our exclusive Quantum Innovation Lab. If you're ready to shape the future of human-machine intelligence, this is your moment.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead cross-functional teams in developing hybrid quantum-classical neural networks
- Author peer-reviewed publications on quantum-AI convergence and publish in Nature/Science journals
- Develop quantum encryption protocols resistant to 2026's anticipated computational threats
- Collaborate with hardware teams to optimize quantum error correction for AI workloads
- Mentor junior researchers and contribute to our open-source quantum-AI framework
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years of research experience
- Expertise in quantum algorithms, machine learning frameworks, and high-performance computing
- Published work in top-tier quantum/AI journals (Nature, Science, IEEE Transactions)
- Proficiency in quantum programming languages (Qiskit, Cirq) and classical AI stacks (PyTorch, TensorFlow)
- Deep understanding of quantum error correction and fault-tolerant architectures
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Strong background in cryptography or computational complexity theory