Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence. We're seeking visionary Quantum AI Research Scientists to architect breakthrough algorithms that will redefine computational boundaries by 2026. In this role, you'll collaborate with Nobel laureates and industry pioneers to develop fault-tolerant quantum neural networks, hybrid quantum-classical systems, and novel optimization frameworks that solve previously intractable problems in drug discovery, climate modeling, and materials science.
Our state-of-the-art Quantum Neural Processing Lab offers unparalleled resources including 1000+ qubit quantum simulators, exascale computing clusters, and exclusive partnerships with NASA and MIT. We offer competitive equity packages, unlimited R&D budgets, and flexible hybrid work arrangements across our Palo Alto and Boston campuses.
Responsibilities
- Design and implement hybrid quantum-classical machine learning algorithms for enterprise-scale optimization problems
- Develop fault-tolerant quantum neural network architectures leveraging topological qubit technologies
- Lead cross-functional teams of quantum physicists, ML engineers, and domain experts
- Publish breakthrough research in Nature/Science journals and contribute to open-source quantum frameworks
- Translate theoretical quantum advantage into practical solutions for Fortune 100 partners
- Architect secure quantum communication protocols for distributed AI systems
- Drive patent development in quantum algorithm innovation and quantum-resistant cryptography
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics (or equivalent research experience)
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or PennyLane)
- Publication record in top-tier quantum/AI conferences (QIP, NeurIPS, ICML)
- Expertise in quantum error correction and fault-tolerant architectures
- Proficiency in high-performance computing (HPC) and GPU-accelerated frameworks
- Demonstrated ability to translate complex quantum concepts into engineering specifications
- Strong background in at least one domain: computational chemistry, financial modeling, or logistics optimization