Job Description
Join Nexus Technologies at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Architect to design next-generation systems that will redefine computational boundaries. In this pivotal role, you'll lead breakthrough projects in quantum machine learning, neural network optimization, and hybrid quantum-classical architectures. Our Austin hub offers unparalleled resources, including access to our 500-qubit quantum lab and partnership with MIT's Quantum Engineering Center. This is your chance to shape the digital landscape of tomorrow while working alongside Nobel laureates and Turing Award winners.
We offer comprehensive benefits including equity grants, flexible work arrangements, and a $15,000 annual innovation budget. Our culture emphasizes autonomous research and cross-disciplinary collaboration, with quarterly hackathons and sponsored conference attendance worldwide.
Responsibilities
- Design and implement quantum neural networks for real-world optimization problems
- Lead R&D initiatives in quantum machine learning algorithms and error correction
- Collaborate with hardware teams to develop quantum-classical hybrid systems
- Develop patent-pending approaches to quantum-resistant cryptography
- Mentor junior researchers and publish findings in Nature/Science journals
- Secure $5M+ in federal grants for quantum AI research initiatives
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent research experience)
- 5+ years in quantum algorithm development or large-scale ML systems
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Published research in quantum machine learning or quantum information theory
- Expertise in high-performance computing and distributed systems
- Experience securing DARPA/NSF grants for quantum research
- Deep understanding of quantum error correction and fault tolerance