Job Description
Join NexGen Dynamics at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our cross-functional team is developing revolutionary solutions for climate modeling, drug discovery, and autonomous systems. This role offers unparalleled opportunities to shape the technological landscape of 2026 and beyond.
We provide a dynamic work environment with cutting-edge resources, flexible remote options, and comprehensive benefits including equity participation. Our commitment to innovation is matched only by our dedication to employee growth and work-life balance.
Responsibilities
- Lead research in quantum machine learning algorithms for 2026-era computational challenges
- Develop hybrid quantum-classical architectures for real-world industrial applications
- Collaborate with AI specialists to create next-gen neural networks leveraging quantum advantages
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and drive technical excellence across the quantum division
- Secure patents and intellectual property for breakthrough quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Proficiency in quantum programming languages (Qiskit, Cirq) and quantum circuit design
- Expertise in machine learning frameworks (TensorFlow, PyTorch) and high-performance computing
- Published research in quantum computing or quantum machine learning
- Strong background in complex mathematical modeling and algorithm optimization
- Demonstrated ability to translate theoretical concepts into practical solutions
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)