Job Description
Join Nexus Labs at the forefront of 2026 technological evolution as we pioneer quantum-AI convergence for next-generation computing. We seek a visionary Research Scientist to develop breakthrough algorithms that redefine computational boundaries. This role offers unparalleled resources to explore uncharted territories in quantum machine learning, with direct impact on autonomous systems, biotech simulations, and climate modeling. Collaborate with Nobel laureates and industry disruptors in our state-of-the-art facility overlooking the Bay Area skyline.
Responsibilities
- Design and implement quantum-AI hybrid architectures for exponential computational scaling
- Lead cross-disciplinary R&D projects in quantum neural networks and topological qubits
- Develop patent-pending algorithms for error correction in quantum systems
- Publish high-impact research in Nature/Science journals and industry conferences
- Translate theoretical models into practical applications for autonomous robotics and drug discovery
- Mentor PhD researchers and secure $10M+ in NSF/DARPA grants
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
- Published research in quantum machine learning or quantum error correction
- Proficiency in Qiskit, Cirq, and quantum circuit optimization frameworks
- Expertise in tensor networks and quantum tensor networks (QTNs)
- Demonstrated success in securing federal research grants
- Experience with cryogenic quantum systems and superconducting qubits
- Strong background in topological quantum field theory