Job Description
Step into the future with Nexus Quantum Solutions as we pioneer the next frontier of computational intelligence. We're seeking a visionary Quantum AI Systems Architect to design hybrid quantum-neural networks that will redefine 2026's technological landscape. This role sits at the intersection of quantum physics, machine learning, and distributed systems, where you'll architect solutions to solve humanity's most complex challenges—from climate modeling to drug discovery.
Join our elite R&D team in Austin's innovation hub, where you'll collaborate with Nobel laureates and Turing Award winners. We offer groundbreaking research funding, access to quantum hardware prototypes, and unparalleled professional development. This isn't just a job—it's your chance to shape the computational paradigm that will power the next decade of human progress.
Responsibilities
- Design fault-tolerant quantum neural network architectures for enterprise-scale AI applications
- Develop hybrid quantum-classical algorithms that achieve 1000x computational speedups
- Lead integration of quantum processors with next-gen supercomputing infrastructure
- Create security protocols for quantum-resistant blockchain and encryption systems
- Optimize quantum machine learning models for real-time edge deployment
- Collaborate with quantum hardware teams to co-design next-generation qubit technologies
- Present breakthrough research at premier quantum computing conferences
Qualifications
- PhD in Quantum Computing, Theoretical Computer Science, or related field (or equivalent experience)
- 5+ years developing quantum algorithms or quantum machine learning systems
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and error correction techniques
- Proven track record publishing in Nature/Science or equivalent tier-1 journals
- Deep understanding of quantum hardware constraints (superconducting, trapped-ion, photonic)
- Experience with high-performance computing frameworks (TensorFlow Quantum, PennyLane)
- Demonstrated ability to lead cross-disciplinary technical teams