Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer quantum-AI hybrid systems for 2026 and beyond. We're seeking a visionary Quantum AI Research Scientist to architect next-generation computational frameworks that will redefine industries. Our Austin-based innovation hub offers unparalleled resources to transform theoretical concepts into scalable solutions.
As part of our elite research division, you'll collaborate with Nobel laureates and industry pioneers to develop quantum neural networks, decrypt complex biological patterns, and create self-optimizing algorithms. We provide competitive equity packages, flexible research budgets, and access to our quantum computing infrastructure.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for computational breakthroughs
- Lead research in quantum machine learning and neural network optimization
- Develop scalable quantum solutions for cryptography, drug discovery, and climate modeling
- Collaborate with hardware engineers to bridge quantum theory and practical applications
- Publish findings in top-tier journals and present at global tech conferences
- Mentor junior researchers and drive cross-functional innovation initiatives
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics (or equivalent expertise)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, D-Wave)
- Demonstrated ability to translate complex theoretical concepts into practical solutions
- Strong track record of interdisciplinary collaboration