Job Description
Join Nexus Quantum Labs at the frontier of technological evolution as we pioneer the next generation of AI-quantum hybrid systems. Our Austin-based R&D hub is seeking visionary Quantum AI Architects to design and implement scalable quantum neural networks that will redefine computational capabilities by 2026. You'll collaborate with Nobel laureates and industry pioneers in a state-of-the-art facility equipped with D-Wave and IBM quantum processors.
We offer competitive equity packages, flexible hybrid work arrangements, and unparalleled professional development opportunities. Shape the future of human-computer interaction while contributing to breakthroughs in climate modeling, drug discovery, and autonomous systems.
Responsibilities
- Design and implement quantum neural network architectures for next-gen AI systems
- Develop hybrid quantum-classical computing frameworks for enterprise-scale applications
- Lead cross-functional teams of physicists, machine learning engineers, and domain experts
- Optimize quantum algorithms for real-world deployment in high-stakes industries
- Author peer-reviewed research publications and secure government/industry grants
- Drive quantum computing adoption through strategic partnerships with tech leaders
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on experience with quantum programming (Q#, Qiskit, Cirq)
- Proven track record of publishing in top-tier quantum/AI journals (Nature, Science, etc.)
- Expertise in quantum error correction and fault-tolerant computing principles
- Strong background in machine learning frameworks (PyTorch, TensorFlow) and classical optimization
- Experience with quantum hardware integration (IBM Q, Rigetti, D-Wave)
- Excellent communication skills for translating complex quantum concepts to stakeholders