Job Description
Join Nexus Technologies at the forefront of 2026's quantum-AI revolution! We're pioneering next-generation computational systems that will redefine industries. As a Quantum AI Research Engineer, you'll architect hybrid quantum-neural algorithms to solve previously impossible optimization problems in logistics, drug discovery, and climate modeling. Collaborate with Nobel laureates in our Austin Innovation Lab to build the computational backbone of tomorrow.
Responsibilities
- Design and implement quantum machine learning models leveraging 50+ qubit processors
- Develop error-correction protocols for quantum-AI hybrid systems
- Lead cross-functional teams to integrate quantum solutions into cloud infrastructure
- Publish breakthrough research in Nature/Science journals with 3+ annual publications
- Secure $5M+ in government grants for quantum-AI initiatives
- Mentor PhD candidates in quantum algorithm development
- Patent 2+ novel quantum-AI architectures annually
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (exceptional MS with 5+ years experience)
- Expertise in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Proven track record publishing in top-tier quantum/AI conferences
- Experience with cryogenic quantum systems and superconducting qubits
- Strong background in linear algebra, quantum mechanics, and neural networks
- Proficiency in high-performance computing (HPC) environments
- Demonstrated ability to secure federal research grants