Job Description
Join Nexus Quantum Dynamics at the frontier of technological evolution. We're pioneering the next generation of AI-driven quantum computing solutions that will redefine industries by 2026. As a Quantum AI Research Engineer, you'll architect breakthrough algorithms that merge quantum mechanics with artificial intelligence to solve previously unsolvable problems. Our Austin-based innovation hub offers unparalleled resources for research and development in a collaborative, future-focused environment. If you're passionate about shaping tomorrow's technological landscape, this is your opportunity to make history.
Responsibilities
- Design and implement quantum neural networks for advanced AI applications
- Develop hybrid quantum-classical algorithms for machine learning optimization
- Lead research initiatives in quantum-resistant cryptography and secure AI systems
- Collaborate with cross-disciplinary teams to prototype next-gen quantum computing platforms
- Publish breakthrough research in peer-reviewed journals and industry conferences
- Mentor junior researchers in quantum computing methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (or equivalent experience)
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) with quantum applications
- Strong background in linear algebra, quantum mechanics, and information theory
- Published research in quantum machine learning or quantum algorithms
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Proficiency in Python, C++, and high-performance computing environments