Job Description
Join Nexus Dynamics at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. This role offers an unparalleled opportunity to shape the future by developing groundbreaking algorithms that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art research facility, where your work directly impacts fields from drug discovery to climate modeling. We provide competitive equity packages, flexible remote work options, and access to quantum hardware previously reserved for national labs.
Responsibilities
- Design and implement novel quantum machine learning algorithms for real-world applications
- Lead cross-functional teams to develop hybrid quantum-classical computing frameworks
- Publish research in top-tier journals and present at international conferences
- Optimize quantum circuit architectures for scalability and error correction
- Collaborate with product teams to translate research into commercial solutions
- Secure federal and private research grants to advance quantum-AI integration
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Proven expertise in quantum programming languages (Qiskit, Cirq, or Q#)
- Published work in quantum machine learning or quantum algorithms
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with high-performance computing and distributed systems
- Demonstrated ability to secure research funding (NSF, DoE, or industry grants)
- Proficiency in Python, TensorFlow/PyTorch, and quantum simulation frameworks