Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll develop next-gen algorithms that merge quantum computing with artificial intelligence, creating breakthroughs in drug discovery, climate modeling, and computational finance. Our state-of-the-art facility in downtown San Francisco offers unparalleled resources including 1000-qubit quantum processors and dedicated AI supercomputing clusters.
We foster a collaborative environment where PhDs and industry veterans push the boundaries of what's possible. With competitive equity packages, flexible work arrangements, and access to cutting-edge research, this role is perfect for visionary scientists ready to shape tomorrow's technological landscape.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Lead cross-functional teams in developing hybrid quantum-classical AI architectures
- Publish groundbreaking research in top-tier journals and conferences
- Collaborate with hardware engineers to optimize quantum circuit performance
- Develop scalable solutions for real-world industrial applications
- Mentor junior researchers and drive innovation workshops
- Secure external funding through government grants and industry partnerships
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and quantum neural networks
- Published research in quantum computing or quantum machine learning
- Strong background in linear algebra, probability, and quantum mechanics
- Experience with high-performance computing and parallel processing
- Proven ability to translate theoretical concepts into practical implementations