Job Description
Join Nexus Dynamics at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. As a Quantum AI Research Engineer, you'll architect breakthrough solutions for 2026's most complex challenges. Our Austin-based innovation hub offers unparalleled resources to transform theoretical quantum computing into practical AI-driven applications. Collaborate with Nobel laureates and disrupt industries from healthcare to cryptography in an environment where curiosity fuels progress.
Responsibilities
- Design and implement quantum algorithms to enhance machine learning models
- Develop hybrid quantum-classical computing frameworks for real-world applications
- Lead cross-functional teams in prototyping quantum AI solutions
- Research novel quantum error correction techniques for scalable systems
- Publish findings in top-tier journals and present at global conferences
- Optimize quantum circuits for NISQ-era hardware limitations
- Collaborate with industry partners to commercialize quantum AI innovations
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (TensorFlow/PyTorch) and Python
- Strong background in linear algebra, quantum mechanics, and algorithm design
- Publication record in quantum computing or AI research
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Ability to translate complex theoretical concepts into practical implementations
- Proven track record of leading innovative research projects