Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. As a Quantum AI Research Scientist, you'll architect groundbreaking algorithms that merge quantum computing with artificial intelligence to solve previously unsolvable problems. We're seeking visionaries to develop scalable quantum neural networks and hybrid AI systems that will redefine computational boundaries by 2026. This role offers unparalleled resources, cutting-edge lab access, and the opportunity to publish breakthrough research in partnership with MIT and Stanford.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical AI frameworks for real-world applications
- Lead cross-functional teams in prototyping quantum neural networks
- Collaborate with hardware engineers to optimize quantum circuit designs
- Author peer-reviewed publications and patents for quantum AI innovations
- Translate theoretical models into scalable production-ready solutions
- Advise C-suite on quantum technology roadmap and implementation strategy
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming (Qiskit, Cirq, or PennyLane)
- Expertise in machine learning frameworks (TensorFlow/PyTorch) and quantum algorithms
- Publication record in quantum computing or quantum machine learning
- Strong background in linear algebra, quantum mechanics, and computational complexity
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Proven ability to lead technical projects and mentor junior researchers