Job Description
Join Nexus Labs at the forefront of 2026's technological revolution! We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Engineer, you'll architect next-gen algorithms merging quantum supremacy with neural networks, solving problems deemed impossible today. Our Austin hub offers unparalleled resources for breakthrough research in a collaborative, future-focused environment.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for optimization problems
- Develop error-corrected quantum computing protocols on superconducting platforms
- Create neural network architectures leveraging quantum entanglement properties
- Lead cross-functional teams in prototyping 2026-ready computational frameworks
- Publish research in top-tier journals and present at international conferences
- Collaborate with hardware teams to optimize quantum-AI system performance
Qualifications
- PhD in Quantum Computing, AI, or related field (or equivalent experience)
- Expertise in quantum machine learning algorithms and tensor networks
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Strong Python/C++ skills with high-performance computing experience
- Publication record in quantum information or AI research
- Experience with quantum hardware integration (IBM Quantum, Rigetti, or IonQ)