Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. We're seeking visionary Quantum AI Research Engineers to develop groundbreaking algorithms that will redefine computational boundaries. This role offers unparalleled opportunities to shape the future of technology in our state-of-the-art San Francisco innovation lab.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Collaborate with cross-functional teams to integrate quantum solutions into existing AI frameworks
- Lead research initiatives in quantum error correction and coherence optimization
- Develop scalable quantum neural network architectures
- Publish findings in leading scientific journals and present at international conferences
- Mentor junior researchers and contribute to technical documentation
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (TensorFlow, PyTorch)
- Strong background in quantum mechanics and linear algebra
- 3+ years of research experience in quantum computing or quantum information theory
- Demonstrated ability to publish peer-reviewed research
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)