Job Description
Shape the future of human-machine intelligence at Nexus Quantum Labs. We're seeking a visionary Quantum AI Architect to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Join our elite team in Austin's thriving tech ecosystem and develop next-generation systems that will redefine computational capabilities.
As a key innovator in our 2026 initiative, you'll architect hybrid quantum-classical neural networks and pioneer novel algorithms for quantum machine learning. Our state-of-the-art facility houses cutting-edge quantum processors and AI supercomputers, providing an unparalleled environment for revolutionary research.
We offer competitive compensation including equity, comprehensive benefits, and flexible work arrangements. If you're passionate about pushing the boundaries of what's possible in computational intelligence, we invite you to apply and help us build the future.
Responsibilities
- Design and implement hybrid quantum-classical AI architectures for next-generation neural networks
- Develop novel quantum algorithms for machine learning optimization and pattern recognition
- Lead research in quantum neural networks and quantum-enhanced deep learning frameworks
- Collaborate with multidisciplinary teams to integrate quantum solutions into real-world AI applications
- Stay at the forefront of quantum computing advancements and publish breakthrough research
- Mentor junior researchers and contribute to the broader quantum AI community
Qualifications
- Ph.D. in Quantum Computing, Computer Science, Physics, or related field (or equivalent experience)
- Expertise in quantum algorithms, quantum machine learning, and quantum error correction
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and AI frameworks (TensorFlow, PyTorch)
- Proven track record of publishing research in top-tier quantum/AI journals or conferences
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with quantum hardware integration and quantum-classical hybrid systems