Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Lead to architect the next generation of quantum-computing-driven artificial intelligence systems. This role sits at the intersection of quantum physics, machine learning, and futuristic innovation, offering unparalleled opportunities to shape humanity's digital future. Our state-of-the-art San Francisco lab provides an environment where groundbreaking ideas become reality.
You'll lead a multidisciplinary team of physicists, AI specialists, and engineers to develop quantum algorithms capable of solving previously unsolvable computational challenges. We offer competitive equity packages, flexible hybrid work arrangements, and access to our $50M R&D fund for experimental projects.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era AI applications
- Lead cross-functional teams in developing quantum-resistant machine learning models
- Collaborate with hardware teams to optimize quantum-AI co-processing systems
- Author whitepapers on quantum-AI convergence for industry conferences
- Secure $2M+ in government/private research grants for 2026 quantum initiatives
- Mentor PhD-level researchers in quantum information science
- Develop patentable quantum algorithms for autonomous systems optimization
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (10+ years post-PhD experience)
- Published research in quantum machine learning or quantum AI (Nature/Science/IEEE)
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in tensor networks for high-dimensional quantum systems
- Experience securing $1M+ research grants from DARPA/NSF
- Deep understanding of 2026-era quantum hardware roadmap (IBM, Google, IonQ)
- Proven track record of commercializing quantum technologies