Job Description
Join Nexus Quantum Systems at the forefront of 2026's technological revolution! We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's greatest challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that push computational boundaries in cryptography, drug discovery, and climate modeling. Our Austin hub features cutting-edge labs, collaborative innovation spaces, and a culture where curiosity drives breakthroughs. We offer competitive equity packages, flexible work arrangements, and opportunities to publish in top-tier journals. Help us build the future, today.
Responsibilities
- Design and implement quantum machine learning models for complex optimization problems
- Develop hybrid quantum-classical algorithms for real-world industrial applications
- Collaborate with cross-functional teams to integrate quantum solutions into existing AI frameworks
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Author technical documentation and peer-reviewed publications
- Mentor junior researchers and contribute to open-source quantum projects
Qualifications
- PhD in Quantum Physics, Computer Science, or related field (MS with exceptional experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Published research in quantum computing or AI at top-tier conferences/journals
- Expertise in linear algebra, quantum information theory, and algorithm design
- Ability to translate complex quantum concepts into practical applications