Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-generation algorithms that push the boundaries of computational possibility. Our Austin-based hub offers unparalleled resources, including a 1000-qubit quantum processor and an AI supercluster. If you thrive at the intersection of theoretical physics and machine learning, this is your opportunity to shape the 2026 technological paradigm.
Responsibilities
- Design and implement hybrid quantum-classical machine learning models
- Develop error-correction protocols for fault-tolerant quantum systems
- Optimize quantum algorithms for NISQ-era hardware constraints
- Lead cross-functional R&D initiatives with AI and quantum teams
- Publish breakthrough research in top-tier scientific journals
- Collaborate with NASA and DARPA on classified quantum AI projects
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science
- 3+ years of hands-on quantum algorithm development
- Expertise in Python, C++, and quantum frameworks (Qiskit, Cirq)
- Published research in quantum machine learning or quantum error correction
- Deep understanding of quantum circuit optimization techniques
- Experience with high-performance computing environments
- Strong background in linear algebra and probability theory