Job Description
Join Nexus Dynamics at the forefront of technological revolution as we pioneer quantum-AI hybrid systems for 2026. Our multidisciplinary team is developing next-gen computational frameworks that will redefine industries worldwide. This role offers unparalleled opportunities to work with Nobel laureates and industry pioneers in a state-of-the-art research facility overlooking the San Francisco Bay.
We offer competitive equity packages, flexible hybrid work arrangements, and access to our cutting-edge quantum computing lab. Join us in building the computational infrastructure for the next decade of human progress.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computational frameworks
- Lead research initiatives in quantum error correction and fault tolerance
- Collaborate with AI teams to integrate quantum computing into neural networks
- Publish findings in leading scientific journals and present at international conferences
- Mentor junior researchers and drive innovation in quantum-AI integration
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Proficiency in quantum circuit optimization and simulation
- Published research in quantum computing or AI journals
- Demonstrated ability to work in cross-functional research teams
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)