Job Description
Shape the future by pioneering quantum-AI hybrid systems at Nexus Quantum Labs. We're seeking visionary researchers to develop next-gen computational frameworks that will revolutionize industries by 2026. Join our elite team in San Francisco's innovation hub, where you'll collaborate with Nobel laureates and industry pioneers to solve humanity's most complex challenges.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization problems
- Lead cross-functional teams in developing quantum-AI integration prototypes
- Publish breakthrough research in peer-reviewed journals and industry whitepapers
- Drive patent development for proprietary quantum computing methodologies
- Collaborate with hardware teams to co-design quantum-AI accelerators
- Mentor junior researchers and establish quantum computing standards
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years in quantum algorithm development or quantum machine learning
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Proven track record of publishing in Nature/Science/IEEE journals
- Strong background in linear algebra, probability, and information theory
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)
- Demonstrated ability to secure research grants ($500K+)