Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of AI-quantum hybrid systems. We're seeking a visionary Quantum AI Research Scientist to architect breakthrough solutions that will redefine computational capabilities. This role offers unparalleled opportunities to collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility overlooking the Bay Area skyline. You'll develop novel quantum neural networks, optimize quantum machine learning algorithms, and contribute to patent-pending technologies that will shape the 2026 digital landscape.
We offer competitive equity packages, unlimited professional development stipends, and a flexible hybrid work model designed for peak innovation. Our culture celebrates intellectual curiosity and rewards disruptive thinking with industry-leading compensation and benefits.
Responsibilities
- Design and implement quantum neural networks for unsupervised learning applications
- Develop hybrid quantum-classical algorithms for optimization problems
- Lead cross-functional R&D teams in prototyping quantum AI solutions
- Author peer-reviewed publications and contribute to open-source quantum AI frameworks
- Collaborate with hardware engineers to optimize quantum circuit performance
- Identify and mitigate quantum decoherence challenges in real-world deployments
- Present findings at international quantum computing conferences
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computational Mathematics
- 5+ years of experience in quantum algorithm development
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum information theory
- Expertise in linear algebra, probability theory, and quantum mechanics
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)
- Strong Python/C++ programming skills with scientific computing libraries