Job Description
Join Nexus Quantum Labs at the forefront of computational revolution. We're pioneering quantum-AI hybrid systems that will redefine 2026's technological landscape. As a Quantum AI Research Scientist, you'll architect next-generation algorithms merging quantum supremacy with machine learning breakthroughs. Our Austin hub offers state-of-the-art labs, collaborative innovation pods, and unparalleled resources to transform theoretical physics into practical solutions.
We seek visionaries who thrive at the intersection of quantum mechanics, deep learning, and computational complexity. This role offers competitive equity packages, flexible research autonomy, and direct impact on projects shaping humanity's computational future. Relocation assistance provided for exceptional candidates.
Responsibilities
- Design quantum neural networks for exponential speedup in AI training
- Develop hybrid quantum-classical frameworks for unsupervised learning
- Optimize quantum algorithms for error correction in real-world applications
- Collaborate with hardware teams to co-design quantum-AI accelerators
- Publish breakthrough research in Nature/Science journals
- Lead cross-functional teams on quantum cryptography implementations
- Secure $1M+ in government/private research grants annually
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics
- 3+ years experience with quantum programming (Q#, Qiskit, Cirq)
- Publication record in top-tier quantum/AI conferences
- Expertise in tensor networks and quantum simulation methods
- Proficiency in Python, TensorFlow/PyTorch, and CUDA
- Strong background in quantum error correction protocols
- Experience with high-performance computing clusters