Job Description
Step into the future with Nexus Quantum Dynamics – where quantum computing meets artificial intelligence. We're seeking pioneering Quantum AI Research Scientists to architect the next generation of computational systems by 2026. Join our interdisciplinary team at the forefront of quantum machine learning, algorithm optimization, and cryptography. This is your opportunity to solve humanity's most complex challenges while working alongside Nobel laureates and Turing Award winners in our state-of-the-art Austin Innovation Campus.
Your Impact: You'll develop novel quantum neural networks, design fault-tolerant quantum algorithms, and pioneer hybrid quantum-classical frameworks that will revolutionize industries from pharmaceuticals to space exploration. We offer competitive equity packages, unlimited PTO, and access to our quantum annealing supercomputers.
Responsibilities
- Design and implement quantum machine learning algorithms for optimization and pattern recognition
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Lead research in quantum error correction and fault-tolerant architectures
- Collaborate with hardware engineers to optimize quantum system performance
- Secure federal and private research funding through grant proposals
- Publish breakthrough research in Nature Physics and IEEE journals
- Mentor PhD candidates in quantum information science
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or Physics
- 3+ years of quantum algorithm development experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq)
- Strong background in linear algebra, probability theory, and quantum mechanics
- Publication record in top-tier quantum computing journals
- Proficiency in Python/C++ with quantum simulation libraries
- Experience with quantum annealing hardware (D-Wave, Rigetti)