Job Description
Join Nexus Quantum Dynamics 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 breakthrough algorithms that push the boundaries of computational possibility. Our Austin innovation hub offers unparalleled resources, including 256-qubit quantum processors and dedicated AI supercomputers. This role empowers you to publish groundbreaking research, collaborate with Nobel laureates, and directly shape the next generation of intelligent systems.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks
- Develop error-corrected quantum algorithms for optimization problems
- Lead cross-functional teams to prototype quantum AI solutions
- Contribute to open-source quantum computing libraries (e.g., Qiskit, Cirq)
- Translate theoretical quantum models into production-ready applications
- Present findings at premier conferences (IEEE Quantum, NeurIPS)
- Secure patents for novel quantum AI methodologies
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (or equivalent experience)
- 3+ years experience with quantum programming frameworks
- Proficiency in Python, TensorFlow, and quantum circuit design
- Published research in quantum machine learning or quantum algorithms
- Deep understanding of quantum error correction techniques
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability, and information theory