Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence for 2026. Our multidisciplinary team operates at the intersection of quantum computing, artificial intelligence, and predictive analytics to solve humanity's most complex challenges. This role offers unparalleled opportunity to shape the next decade of technological advancement while collaborating with Nobel laureates and industry disruptors in our state-of-the-art San Francisco R&D facility.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen autonomous systems
- Lead cross-functional teams in developing 2026-era predictive modeling frameworks
- Conduct cutting-edge research in quantum neural networks and post-classical computing
- Translate theoretical quantum-AI models into scalable industrial applications
- Author breakthrough publications in top-tier journals and conference proceedings
- Secure $5M+ in research funding through NSF and DARPA proposals
Qualifications
- PhD in Quantum Computing, AI, or related field with 5+ years research experience
- Published work in Nature/Science or equivalent tier journals
- Expertise in quantum circuit design and error correction methodologies
- Proficiency in Python, Qiskit, and quantum cloud platforms (IBM, Rigetti)
- Demonstrated ability to lead high-impact R&D initiatives
- Strong background in complex systems theory and computational physics
- Security clearance eligibility for government partnerships