Job Description
Join Nexus Innovations at the frontier of 2026 technology revolution. We're seeking a visionary Quantum AI Systems Architect to design next-gen computational frameworks that will redefine human-machine collaboration. This role bridges quantum computing, neural networks, and ethical AI governance in a hyper-competitive innovation ecosystem. You'll lead cross-disciplinary teams to build scalable quantum neural processors while pioneering breakthroughs in algorithmic efficiency and quantum-resistant security protocols. Our Austin R&D center offers unparalleled resources including quantum annealing arrays and neuromorphic computing clusters.
This position requires deep expertise in quantum machine learning and the ability to translate theoretical models into deployable systems. You'll collaborate with Nobel laureates, publish in Nature Quantum, and contribute to ISO quantum computing standards. Our compensation package includes equity, flexible hybrid work, and access to our exclusive 2026 Innovation Lab.
Responsibilities
- Design and implement quantum neural network architectures for real-time AI decision-making
- Lead development of quantum-resistant cryptographic systems for 2026-era data security
- Optimize quantum-classical hybrid computing pipelines for enterprise-scale applications
- Research and publish breakthroughs in quantum machine learning algorithms
- Collaborate with quantum hardware teams to co-design next-generation processors
- Establish ethical AI governance frameworks for autonomous quantum systems
- Mentor junior researchers and lead cross-functional quantum-AI integration projects
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Machine Learning (or equivalent experience)
- 3+ years developing quantum machine learning frameworks in production environments
- Expertise in quantum circuit optimization and error correction protocols
- Published research in Nature/Science journals on quantum AI or related fields
- Proficiency with quantum programming languages (Qiskit, Cirq, PennyLane)
- Deep understanding of quantum annealing and superconducting qubit systems
- Experience leading teams in agile development of complex AI systems
- Strong background in differential geometry and topological quantum computing