Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer quantum-AI convergence for 2026. We're seeking visionary researchers to develop next-gen algorithms that will redefine computational boundaries. Our Austin-based lab offers unparalleled resources for breakthrough work in machine learning, quantum computing, and predictive analytics. Collaborate with Nobel laureates and industry disruptors in an environment where theoretical science meets real-world application. This role offers competitive equity packages, flexible work arrangements, and dedicated R&D funding for your passion projects.
Responsibilities
- Design and implement quantum machine learning algorithms for complex data modeling
- Lead cross-functional teams in developing AI solutions for autonomous systems
- Publish peer-reviewed research in top-tier journals and conferences
- Secure federal and private research grants for advanced computing projects
- mentor junior researchers and PhD candidates in quantum-AI methodologies
- Partner with hardware teams to optimize quantum circuit architectures
- Develop ethical frameworks for responsible AI deployment in 2026 tech ecosystems
Qualifications
- PhD in Quantum Computing, AI, or related computational field
- 3+ years experience with quantum programming (Qiskit, Cirq, or similar)
- Published research in Nature/Science or equivalent tier journals
- Expertise in tensor networks and quantum error correction techniques
- Strong background in deep learning frameworks (PyTorch/TensorFlow)
- Demonstrated success in securing competitive research funding
- Experience with high-performance computing architectures
- Knowledge of emerging 2026 tech regulatory landscapes