Job Description
Join Nexus Technologies at the forefront of 2026's technological revolution as we pioneer quantum-AI integration for next-generation autonomous systems. We seek a visionary Quantum AI Architect to design hybrid computational frameworks that will redefine human-machine collaboration. You'll lead a cross-disciplinary team in developing fault-tolerant quantum neural networks while maintaining ethical compliance with emerging global AI governance frameworks.
Our Austin-based innovation hub offers unparalleled resources for prototyping and testing in partnership with leading quantum computing labs. This role requires deep expertise in quantum machine learning and the ability to translate complex theoretical models into deployable solutions.
Responsibilities
- Design scalable quantum-AI hybrid architectures for autonomous decision-making systems
- Develop error-corrected quantum neural networks using Qiskit and PennyLane frameworks
- Lead implementation of quantum-encrypted AI training pipelines
- Collaborate with robotics teams to embed quantum processors in edge devices
- Establish quantum-AI performance benchmarks and optimization protocols
- Ensure compliance with 2026 Global Quantum AI Ethics Standards
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 5+ years industry experience
- Proven expertise in quantum circuit design and quantum machine learning algorithms
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq) and classical AI frameworks
- Published research in top-tier quantum/AI journals or conferences
- Experience with quantum error correction and fault-tolerant architectures
- Strong background in high-dimensional optimization and tensor networks
- Knowledge of emerging quantum hardware platforms (IBM, Rigetti, IonQ)
- Demonstrated ability to lead complex technical projects across disciplines