Job Description
Join Nexus Quantum Systems' groundbreaking 2026 Lab where we're architecting the next era of human-AI symbiosis. We seek visionary Quantum AI Engineers to develop hybrid quantum-neural systems that will redefine computational boundaries. This role offers unparalleled resources to pioneer breakthroughs in autonomous decision-making frameworks and ethical AI governance. Our Austin campus features state-of-the-art quantum annealing labs and neuro-symbolic computing environments.
Responsibilities
- Design and implement quantum-entangled machine learning architectures for predictive modeling
- Develop neural-symbolic integration frameworks for explainable AI systems
- Lead cross-functional teams in prototyping next-gen human-AI collaboration interfaces
- Establish ethical compliance protocols for autonomous decision-making systems
- Optimize quantum algorithms for real-time anomaly detection in complex datasets
- Collaborate with neuromorphic engineering teams on bio-inspired computing solutions
- Author peer-reviewed publications on quantum machine learning advancements
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience in quantum algorithm development with frameworks like Qiskit or Cirq
- Expertise in tensor networks and quantum error correction methodologies
- Publication record in top-tier AI/quantum journals (NeurIPS, Nature Quantum)
- Proficiency in Python, TensorFlow Quantum, and high-performance computing environments
- Demonstrated experience with neuromorphic hardware (Loihi, Intel HalaPoint)
- Deep understanding of quantum-classical hybrid computing paradigms