Job Description
Join Nexus Quantum Solutions at the forefront of 2026's technological revolution! We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll architect breakthrough algorithms that redefine computational boundaries in fields from climate modeling to drug discovery. Our state-of-the-art lab in San Francisco offers unparalleled resources and a collaborative environment where your innovations will shape the future. We offer competitive compensation, flexible work arrangements, and opportunities to publish in leading journals.
Responsibilities
- Design and implement novel quantum machine learning algorithms for high-dimensional data processing
- Lead cross-functional teams to prototype quantum-AI hybrid systems for real-world applications
- Develop error-correction protocols for quantum neural networks at scale
- Collaborate with hardware teams to optimize quantum-AI co-design architectures
- Publish research in top-tier journals and present at international conferences
- Secure and manage research grants from federal and private funding sources
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Machine Learning, Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development and quantum circuit optimization
- Expertise in Python, TensorFlow/PyTorch, and quantum frameworks like Qiskit or Cirq
- Published research in quantum machine learning or related fields
- Experience with high-performance computing clusters and distributed quantum systems
- Strong background in linear algebra, probability theory, and computational complexity
- Proven ability to translate theoretical concepts into practical implementations