Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer quantum-AI fusion systems for 2026. Our multidisciplinary team is developing next-gen neural networks that harness quantum processing to solve previously unsolvable computational challenges. This role offers the rare opportunity to shape the future of artificial intelligence while working with cutting-edge hardware and algorithms in our state-of-the-art San Francisco lab.
Responsibilities
- Design and implement quantum-AI hybrid architectures for enterprise applications
- Collaborate with quantum hardware engineers to optimize algorithm performance on quantum processors
- Develop predictive models leveraging quantum-enhanced machine learning techniques
- Lead security protocols for quantum-resistant encryption systems
- Research and integrate emerging quantum computing breakthroughs into AI frameworks
- Mentor junior researchers on quantum computing principles
- Present findings at industry conferences and publish in leading journals
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (Master's with exceptional experience)
- 3+ years experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming languages (Q#, Qiskit, or Cirq)
- Deep understanding of quantum error correction and fault-tolerant systems
- Strong background in neural networks and deep learning frameworks
- Published research in quantum computing or quantum AI
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Ability to translate complex quantum concepts for interdisciplinary teams