Job Description
Shape the future at Nexus Quantum Labs, where we're pioneering the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Scientist, you'll develop groundbreaking algorithms to solve previously impossible computational challenges in drug discovery, climate modeling, and materials science. Join our multidisciplinary team at the forefront of technological innovation.
We offer competitive equity packages, flexible remote work options, and access to cutting-edge quantum hardware. Our Austin campus features state-of-the-art labs and collaborative spaces designed for breakthrough thinking.
Responsibilities
- Design and implement quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Collaborate with hardware engineers to optimize quantum circuit implementations
- Lead research initiatives in quantum neural networks and quantum-enhanced data analysis
- Publish findings in peer-reviewed journals and present at international conferences
- Mentor junior researchers and contribute to patent development
- Secure external funding through NSF and DARPA grant proposals
Qualifications
- PhD in Physics, Computer Science, or related field with 3+ years quantum computing experience
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and circuit optimization
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum algorithms or quantum machine learning
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, IonQ)
- Proficiency in high-performance computing environments
- Ability to translate complex technical concepts for diverse stakeholders
- US citizenship required for government collaboration projects