Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Engineers to architect next-generation systems that will redefine computational paradigms. This role offers unparalleled opportunity to shape humanity's technological future while working in our state-of-the-art Austin innovation hub.
You'll collaborate with Nobel laureates and industry pioneers to develop quantum neural networks, optimize quantum machine learning algorithms, and solve previously intractable problems in cryptography, materials science, and climate modeling. Our culture celebrates intellectual curiosity, rapid prototyping, and boundary-pushing research in a hyper-modern environment with unlimited resources.
Responsibilities
- Design and implement quantum neural networks for complex pattern recognition
- Develop hybrid quantum-classical ML frameworks for real-world applications
- Lead research in quantum error correction for scalable AI systems
- Collaborate on patentable innovations in quantum AI algorithms
- Translate theoretical breakthroughs into production-ready quantum computing solutions
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 3+ years in quantum algorithm development or quantum machine learning
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Strong foundation in linear algebra, quantum mechanics, and ML theory
- Published research in quantum computing or AI (arXiv/IEEE preferred)
- Experience with quantum simulators and hardware platforms (IBM Rigetti, IonQ)