Job Description
Join Nexus Quantum Systems at the frontier of computational intelligence. We're pioneering quantum-AI hybrids that will redefine 2026's technological landscape. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that merge quantum computing with machine learning to solve previously impossible problems in drug discovery, climate modeling, and cryptography. Our Austin-based lab offers unparalleled resources including 1000-qubit quantum processors and dedicated AI supercomputers.
Why Nexus? We're backed by $500M in venture capital and partner with NASA, IBM Research, and MIT. Enjoy flexible hybrid work, equity grants, and a $20k annual learning stipend. Shape the future of human-machine intelligence.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era applications
- Develop hybrid quantum-classical computing frameworks for enterprise clients
- Lead R&D projects in quantum neural networks and quantum reinforcement learning
- Collaborate with NASA/JPL on quantum-optimized space mission simulations
- Author breakthrough research papers for Nature Quantum and IEEE journals
- Mentor junior researchers in quantum programming and AI ethics
- Secure patents for novel quantum-AI hybrid methodologies
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or quantum algorithms
- Proficiency with TensorFlow/PyTorch and high-performance computing
- Experience with quantum hardware (IBM Quantum, Rigetti, D-Wave)
- Strong background in linear algebra, quantum mechanics, and probability theory
- Track record of translating theoretical models into practical implementations