Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. This role offers the unique opportunity to shape the computational landscape of 2026 by developing breakthrough algorithms that merge quantum supremacy with advanced machine learning. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin research facility, contributing to projects that will redefine global industries from healthcare to climate modeling.
We're seeking visionary researchers who thrive at the intersection of theoretical physics and applied artificial intelligence. The ideal candidate will drive innovation in quantum neural networks, error-corrected AI, and autonomous quantum systems while mentoring the next generation of tech pioneers. This position includes competitive equity, unlimited R&D budget, and access to our proprietary quantum computing infrastructure.
Responsibilities
- Lead research initiatives in quantum machine learning algorithms for 2026-era applications
- Develop novel error-correction frameworks for quantum-AI hybrid systems
- Design and implement scalable quantum neural networks using Python and Qiskit
- Collaborate with hardware teams to optimize quantum-AI co-processing architectures
- Publish peer-reviewed papers in Nature/Science journals and top-tier AI conferences
- Mentor interdisciplinary teams of physicists, computer scientists, and domain experts
- Secure federal and private research grants for quantum-AI advancement projects
Qualifications
- PhD in Quantum Computing, Machine Learning, or Computational Physics
- 3+ years of hands-on experience with quantum algorithms (QAOA, VQE, etc.)
- Publication record in top-tier AI or quantum journals (NeurIPS, PRA, etc.)
- Expertise in Python, TensorFlow/PyTorch, and quantum frameworks (Qiskit, Cirq)
- Deep understanding of quantum error correction and fault-tolerant computing
- Strong background in distributed computing and high-performance systems
- Experience securing DoE or NSF grants for advanced research projects