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 a visionary Quantum AI Research Lead to architect groundbreaking solutions that will redefine computational capabilities by 2026. This role combines quantum computing expertise with advanced machine learning to solve humanity's most complex challenges.
What You'll Achieve: Lead a multidisciplinary team in developing quantum neural networks, optimize quantum algorithms for real-world applications, and publish breakthrough research in top-tier journals. You'll collaborate with MIT and Stanford researchers to push the boundaries of quantum machine learning.
Responsibilities
- Design and implement quantum-AI hybrid frameworks for scalable machine learning
- Lead cross-functional teams of quantum physicists and AI engineers
- Develop error-correction protocols for quantum neural networks
- Secure $5M+ in research grants from NSF and DARPA
- Drive commercialization of quantum-AI applications in healthcare and logistics
- Mentor PhD researchers and publish 3+ high-impact papers annually
- Shape the 2026 quantum computing roadmap for Fortune 500 partners
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (10+ years experience)
- Expertise in quantum algorithms and machine learning frameworks
- Proven track record of securing federal research grants
- Experience with D-Wave, IBM Q, or similar quantum systems
- Published work in Nature/Science on quantum-AI integration
- Strong Python/C++ proficiency with quantum libraries (Qiskit, Cirq)
- Leadership experience managing 10+ technical teams
- Security clearance preferred for government projects