Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer the next generation of quantum-AI integration. We're seeking a visionary 2026 Quantum AI Research Scientist to architect breakthrough systems that will redefine computational boundaries. In this pivotal role, you'll collaborate with Nobel laureates and industry pioneers to develop scalable quantum algorithms and neural networks capable of solving humanity's most complex challenges.
Our state-of-the-art facility in San Francisco offers unparalleled resources for experimentation, including quantum annealing arrays and photonic processors. You'll lead cross-functional teams in translating theoretical models into practical applications while publishing groundbreaking research in top-tier journals. This is your opportunity to shape the technological landscape of tomorrow.
Responsibilities
- Design and implement novel quantum machine learning architectures for 2026-era applications
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Develop error-corrected quantum algorithms optimized for near-fault-tolerant hardware
- Collaborate with hardware teams to co-design quantum-AI integration protocols
- Publish peer-reviewed research and present findings at global tech symposiums
- Secure federal and private research funding for quantum-AI initiatives
- Mentor junior researchers in quantum computing principles and AI optimization
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics (or equivalent experience)
- Minimum 5 years experience in quantum algorithm development or advanced AI research
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq) and ML frameworks
- Published research in quantum machine learning or related high-impact journals
- Expertise in quantum error correction and fault-tolerant computing architectures
- Demonstrated ability to lead complex R&D projects with cross-disciplinary teams
- Strong background in high-performance computing and distributed systems