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 design next-generation algorithms that push the boundaries of computational possibility. Our Austin-based innovation hub offers unparalleled resources and collaborative freedom to transform theoretical concepts into real-world breakthroughs.
Responsibilities
- Develop hybrid quantum-classical AI models for optimization and machine learning applications
- Design and implement error-correction protocols for quantum neural networks
- Collaborate with cross-functional teams to prototype quantum algorithms
- Lead research initiatives in quantum-enhanced natural language processing
- Publish findings in leading scientific journals and industry conferences
- Mentor junior researchers on quantum computing best practices
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (MS with 5+ years experience considered)
- Expertise in quantum algorithms and quantum circuit design
- Proficiency in Python, Qiskit, and quantum simulation frameworks
- Strong background in machine learning and neural network architectures
- Published research in quantum computing or AI (3+ papers preferred)
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)