Job Description
Join Nexus Dynamics at the forefront of 2026's quantum-AI revolution. We're pioneering next-gen neural interfaces and autonomous systems that will redefine human-machine collaboration. As our Quantum AI Research Lead, you'll architect breakthrough algorithms that fuse quantum computing with generative AI, creating solutions for climate modeling, personalized medicine, and decentralized networks.
We offer competitive equity packages, flexible hybrid work, and access to our state-of-the-art quantum lab. Help us build the technologies that will shape humanity's next decade.
Responsibilities
- Design and implement quantum machine learning models for complex optimization problems
- Lead cross-functional teams in developing hybrid quantum-classical AI systems
- Publish breakthrough research in top-tier journals (Nature, Science, etc.)
- Collaborate with hardware teams to optimize quantum algorithm performance
- Drive ethical AI frameworks for quantum applications
- Secure $5M+ in research grants and partnerships
- Mentor PhD researchers and interns in quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Proven track record of publishing top-tier quantum-AI research
- Expertise in deep learning frameworks (PyTorch/TensorFlow)
- Strong background in quantum error correction and fault tolerance
- Experience with high-performance computing clusters
- Demonstrated leadership in technical research environments
- Patent or open-source contributions in quantum computing preferred