Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence. We seek visionary engineers to architect breakthrough solutions that will redefine industries by 2026. Our Austin-based R&D hub offers unparalleled resources, collaborative cross-disciplinary teams, and direct impact on future-defining projects. Work alongside Nobel laureates and build scalable quantum neural networks that solve previously unsolvable computational challenges.
Responsibilities
- Design and implement hybrid quantum-classical algorithms for AI optimization
- Develop fault-tolerant quantum computing protocols targeting 2026 commercial viability
- Create advanced machine learning models leveraging quantum advantage
- Lead prototyping of quantum neural networks for real-world applications
- Collaborate with hardware teams to co-design quantum-AI accelerator architectures
- Publish research in top-tier journals and conferences
- Mentor junior researchers in emerging quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proficiency in Python with deep learning libraries (PyTorch, TensorFlow)
- Experience with quantum error correction and fault-tolerant design
- Publication record in quantum/AI research (arXiv, Nature, etc.)
- Strong background in linear algebra, probability, and information theory
- Demonstrated ability to translate theoretical concepts into production systems