Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-generation algorithms for drug discovery, climate modeling, and cryptography. Our state-of-the-art facility in San Francisco offers unparalleled resources, including 128-qubit processors and exclusive access to the Quantum Cloud Network. We offer competitive compensation, equity packages, and flexible hybrid work arrangements for exceptional talent shaping tomorrow's innovations.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop error-correction protocols for fault-tolerant quantum computing systems
- Lead cross-functional teams in prototyping quantum-AI hybrid applications
- Publish breakthrough research in top-tier journals and conferences
- Collaborate with hardware engineers to co-design quantum processors
- Secure and manage $5M+ in research grants from NSF and DARPA
- Mentor PhD candidates in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or Q#)
- Published work in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum entanglement and decoherence principles
- Proven track record of securing government or industry research funding
- Strong background in linear algebra and probability theory
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)