Job Description
Join Nexus Quantum Labs at the frontier of technological innovation as we pioneer the next generation of quantum-AI hybrid systems. We're seeking a visionary 2026 Quantum AI Researcher to develop groundbreaking algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to shape humanity's technological trajectory while working with Nobel Prize-winning scientists and cutting-edge infrastructure.
Our state-of-the-art facility in San Francisco provides an environment where theoretical breakthroughs become tangible realities. You'll collaborate with interdisciplinary teams to solve humanity's most complex challenges, from climate modeling to drug discovery, using quantum-AI synergies previously deemed impossible.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational frameworks
- Lead cross-functional research initiatives combining quantum computing with neural networks
- Develop error-correction protocols for fault-tolerant quantum-AI systems
- Publish findings in top-tier journals and present at international conferences
- Collaborate with hardware teams to optimize quantum-AI co-design architectures
- Secure and manage research grants from federal and private innovation funds
- Mentor junior researchers in quantum information science and AI ethics
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or topological quantum computing
- Expertise in Python, TensorFlow, and high-performance computing environments
- Demonstrated ability to translate theoretical concepts into experimental implementations
- Strong background in quantum error correction and fault-tolerance
- Experience securing federal research grants (NSF, DOE, DARPA)
- Knowledge of quantum-AI ethics and responsible innovation frameworks