Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. 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 bridge quantum mechanics and machine learning, working in our state-of-the-art Austin facility. This role offers unparalleled opportunities to publish breakthrough research and contribute to patent-protected innovations that will redefine computing.
Responsibilities
- Develop quantum machine learning algorithms for optimization and simulation
- Design hybrid quantum-classical neural network architectures
- Implement error correction protocols for quantum AI systems
- Collaborate with cross-functional teams on quantum hardware-software integration
- Lead research initiatives in quantum natural language processing
- Contribute to open-source quantum AI frameworks and libraries
Qualifications
- PhD in Quantum Computing, AI, or related field (MS with 5+ years experience)
- Proficiency in Python, Qiskit, and TensorFlow/PyTorch
- Published research in quantum machine learning or quantum information
- Experience with quantum annealing and D-Wave systems
- Strong background in linear algebra and probability theory
- Knowledge of quantum error correction codes (e.g., surface codes)