Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI convergence. We're seeking visionary researchers to decode 2026's computational paradigm shifts and architect breakthrough solutions that will redefine human-machine collaboration. This role offers unparalleled access to cutting-edge quantum hardware and AI infrastructure in our state-of-the-art San Francisco facility.
As part of our elite Future Horizons Division, you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges. We offer competitive equity packages, unlimited learning stipends, and flexible work arrangements designed for peak innovation.
Responsibilities
- Lead quantum machine learning research for 2026-era computational architectures
- Develop novel algorithms bridging quantum coherence and neural network optimization
- Architect hybrid quantum-classical frameworks for real-world deployment
- Secure $2M+ in federal grants for frontier quantum-AI initiatives
- Mentor cross-functional teams in quantum computational thinking
- Publish top-tier papers in Nature/Science quantum-AI special editions
- Partner with DARPA and NASA on next-gen space-computing projects
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 5+ years R&D
- Published research in quantum machine learning or fault-tolerant systems
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Experience with superconducting qubit platforms (IBM, Rigetti, Google)
- Demonstrated ability to secure NSF/DARPA research funding
- Expertise in quantum error correction and variational algorithms
- Strong track record of translating theory to industry applications