Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking a visionary Quantum AI Research Lead to architect next-generation computational frameworks that will redefine industries. Our Austin-based innovation hub combines cutting-edge quantum hardware with advanced neural networks to solve humanity's most complex challenges. This role offers unparalleled opportunities to publish groundbreaking research, lead cross-disciplinary teams, and shape the future of human-machine collaboration.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for computational optimization
- Lead 5+ cross-functional researchers in quantum machine learning projects
- Develop secure quantum-resistant encryption protocols for enterprise applications
- Collaborate with hardware engineers to optimize quantum-neural interfaces
- Secure $2M+ in annual research funding through grant proposals
- Publish findings in top-tier journals (Nature, Science, Quantum Computing)
- Present breakthroughs at global tech conferences (IEEE, ACM)
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent experience)
- 5+ years in quantum algorithm development with published peer-reviewed work
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Proven track record of leading high-impact R&D initiatives
- Strong background in deep learning architectures (Transformer, GANs)
- Experience securing government or corporate research grants
- Proficiency in Python, TensorFlow/PyTorch, and quantum circuit design