Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer breakthroughs in quantum-AI convergence for 2026. Our multidisciplinary team is redefining computational boundaries, and we seek visionary researchers to architect the next generation of intelligent systems. This role offers unparalleled opportunities to publish groundbreaking research, collaborate with Nobel laureates, and shape humanity's digital future.
Responsibilities
- Develop novel quantum algorithms for machine learning acceleration
- Lead experimental validation of hybrid quantum-classical neural networks
- Author peer-reviewed publications in top-tier journals (Nature, Science, etc.)
- Architect scalable quantum-AI infrastructure on AWS Braket
- Mentor cross-functional teams in quantum computing principles
- Secure $5M+ in government grants for 2026 research initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years hands-on experience with quantum simulators (Qiskit, Cirq)
- Published research in quantum machine learning or AI optimization
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit design
- Expertise in error mitigation for NISQ-era systems
- Track record of securing research funding from NSF/NIH/DARPA