Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026's digital landscape. We seek a visionary researcher to develop hybrid quantum machine learning models that will redefine computational boundaries. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into industry-disrupting solutions. Collaborate with Nobel laureates and quantum hardware pioneers in an environment where your breakthroughs shape tomorrow's reality.
Responsibilities
- Design and implement quantum algorithms leveraging AI frameworks for 2026-era applications
- Lead cross-functional teams in developing fault-tolerant quantum neural networks
- Conduct advanced research in quantum machine learning optimization techniques
- Translate theoretical models into scalable prototype systems with measurable impact
- Publish peer-reviewed research in top-tier quantum/AI publications
- Secure $5M+ in federal grants for quantum-AI infrastructure development
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Published research in quantum machine learning or quantum supremacy
- Proficiency in quantum hardware integration (superconducting, ion trap, photonic)
- Demonstrated ability to secure government/industry research funding
- Strong background in error correction and quantum coherence optimization