Job Description
Join Nexus Quantum Solutions at the forefront of 2026's technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As our Quantum AI Research Lead, you'll architect next-gen algorithms merging quantum computing with neural networks, transforming industries from healthcare to climate modeling.
Our San Francisco hub offers unparalleled resources, including 128-qubit quantum processors and a $50M R&D budget. Collaborate with Nobel laureates and disrupt paradigms in a culture where breakthroughs are celebrated daily.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for optimization problems
- Lead cross-functional teams of quantum physicists and ML engineers
- Develop error-corrected quantum circuits for deep learning acceleration
- Secure $5M+ in quantum-AI research grants
- Author patents in quantum machine learning frameworks
- Mentor PhD candidates in quantum computing specialization
- Present breakthroughs at Nature/Science and IEEE conferences
Qualifications
- PhD in Quantum Computing or AI with 5+ years R&D
- Published research in Nature/Science on quantum algorithms
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum
- Experience securing government/industry grants >$3M
- Expertise in NISQ-era error mitigation techniques
- Strong background in topological quantum computing
- Proven track record of patenting quantum innovations