Job Description
Join Nexus Dynamics at the forefront of 2026 technological evolution as we pioneer quantum-AI convergence for next-generation computing systems. We seek a visionary Research Scientist to lead breakthrough developments in quantum machine learning algorithms and fault-tolerant quantum architectures. This role offers unparalleled opportunity to shape humanity's technological trajectory while working with world-class physicists and AI specialists in our state-of-the-art Silicon Valley facility.
Responsibilities
- Design and implement hybrid quantum-classical neural networks for 2026-era data processing
- Lead research in quantum error correction for scalable quantum computing platforms
- Develop novel AI optimization algorithms leveraging quantum advantage
- Collaborate with hardware teams to co-design quantum-AI integrated systems
- Publish groundbreaking research in top-tier journals and conferences
- Secure $2M+ in government/private research funding
- Mentor PhD researchers in quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning
- 3+ years hands-on experience with quantum programming (Qiskit/Cirq)
- Expertise in advanced deep learning frameworks (PyTorch/TensorFlow)
- Published research in quantum machine learning or quantum algorithms
- Strong background in linear algebra, probability, and statistical physics
- Experience with high-performance computing environments
- Proven track record of securing research funding