Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're seeking visionary Quantum AI Research Scientists to pioneer the next generation of computational paradigms. In this groundbreaking role, you'll collaborate with Nobel laureates and industry disruptors to develop quantum neural networks that solve previously insurmountable challenges in drug discovery, climate modeling, and artificial consciousness.
Our state-of-the-art facility in San Francisco's Tech District offers an unparalleled environment for innovation. You'll work with our proprietary Q-Core quantum processors and have access to $50M in annual R&D funding. We offer competitive equity packages, flexible hybrid work arrangements, and comprehensive benefits including top-tier health insurance and sabbatical programs.
Responsibilities
- Design and implement quantum machine learning algorithms for complex system optimization
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Author peer-reviewed publications in top-tier journals like Nature Quantum
- Collaborate with government agencies on national quantum security initiatives
- Mentor postdoctoral researchers and contribute to quantum education programs
- Prototype quantum applications for real-time climate simulation and personalized medicine
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics
- 5+ years of experience in quantum algorithm development or quantum error correction
- Proficiency with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum neural networks
- Strong background in tensor networks and quantum information theory
- Experience with high-performance computing environments and GPU acceleration
- Security clearance eligibility for government collaboration projects