Job Description
Join Nexus Future Labs at the forefront of technological evolution to architect the quantum-AI landscape of 2026. We're pioneering hybrid quantum-neural systems that will redefine computational boundaries. As a Research Lead, you'll spearhead breakthrough initiatives in quantum machine learning, error correction algorithms, and ethical AI frameworks. Our state-of-the-art facility in San Francisco's tech corridor offers unparalleled resources for prototyping and deploying next-gen solutions. This role demands visionary thinking and hands-on expertise to transform theoretical concepts into tangible innovations that will shape the next decade of technological advancement.
Responsibilities
- Design and execute quantum-AI integration frameworks for 2026-era applications
- Lead cross-disciplinary teams in developing error-resistant quantum neural networks
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with industry partners to prototype commercial quantum-AI solutions
- Mentor junior researchers in emerging quantum computing paradigms
- Develop ethical governance protocols for autonomous quantum systems
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
- Published research in quantum machine learning or quantum error correction
- Expertise in quantum circuit design and quantum algorithm optimization
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Strong background in neural network architectures and deep learning frameworks
- Demonstrated ability to lead technical research initiatives with measurable impact