Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing paradigms. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and industry disruptors to develop next-generation algorithms for climate modeling, drug discovery, and autonomous systems. Our state-of-the-art lab in San Francisco offers unparalleled resources including quantum processors and petascale computing clusters. We provide competitive equity packages, flexible work arrangements, and dedicated innovation time. If you're passionate about solving humanity's grandest challenges through cutting-edge technology, this is your calling.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Lead research projects in quantum neural networks and quantum-enhanced AI models
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Publish breakthrough research in top-tier journals and conferences
- Develop patents for novel quantum-AI hybrid methodologies
- Mentor junior researchers and cross-functional engineering teams
- Secure $5M+ in research grants through compelling proposals
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Expertise in Python, TensorFlow/PyTorch, and quantum frameworks like Qiskit
- Published research in Nature/Science or top-tier ML conferences
- Deep understanding of quantum error correction and fault tolerance
- Strong background in high-performance computing architectures
- Proven ability to translate theoretical concepts into practical implementations
- Exceptional problem-solving skills for complex interdisciplinary challenges