Job Description
Join Nexus Innovations at the forefront of technological revolution as we pioneer quantum-AI convergence for 2026 and beyond. We seek visionary researchers to develop next-generation computational paradigms that will redefine industries. Our Austin R&D hub offers unparalleled resources including quantum annealing arrays, neuromorphic computing clusters, and collaborative innovation spaces.
This role offers competitive equity, flexible hybrid work, and dedicated R&D budget for experimental projects. You'll collaborate with Nobel laureates and industry disruptors while contributing to humanity's technological evolution.
Responsibilities
- Design and implement hybrid quantum-AI algorithms for optimization and machine learning
- Lead cross-functional teams in prototyping quantum neural networks
- Publish breakthrough research in top-tier journals and conferences
- Develop patentable solutions for quantum-resistant cryptography
- Collaborate with hardware teams to optimize quantum-AI interfaces
- Mentor junior researchers in emerging quantum computing paradigms
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics
- 3+ years of practical quantum algorithm implementation experience
- Published research in quantum machine learning or quantum information theory
- Proficiency in Qiskit, Cirq, and TensorFlow Quantum frameworks
- Deep understanding of quantum error correction and fault tolerance
- Experience with high-performance computing environments
- Strong track record of translating theoretical concepts to practical solutions