Job Description
Join Nexus Dynamics 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 next-gen algorithms that push the boundaries of computational possibility. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical breakthroughs into real-world solutions.
This role is part of our 'Project 2026' initiative—developing the foundational technologies that will define the next decade. You'll collaborate with Nobel laureates, quantum hardware architects, and deep learning experts to create systems that operate at the intersection of physics and data science. If you're driven to build the future, this is where you belong.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop error-corrected quantum circuits for complex data processing tasks
- Lead cross-functional research initiatives in quantum neural networks
- Collaborate with hardware teams to optimize quantum AI implementations
- Author breakthrough research papers for top-tier publications
- Mentor junior researchers and drive innovation in quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development
- Expertise in quantum machine learning frameworks (e.g., Qiskit, Cirq)
- Strong background in linear algebra, probability, and information theory
- Publication record in quantum computing or AI research
- Proficiency in Python/C++ with quantum simulation libraries
- Experience with NISQ-era quantum hardware constraints