Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence. We're seeking visionary Quantum AI Research Scientists to develop groundbreaking algorithms that will redefine computational paradigms. Our Austin-based hub offers unparalleled resources for experimentation, including state-of-the-art quantum processors and dedicated AI supercomputing clusters. Collaborate with Nobel laureates and Turing Award winners in an environment where theoretical innovation meets practical application. This role offers competitive equity, flexible research parameters, and the opportunity to shape humanity's technological future.
Responsibilities
- Design and implement novel quantum machine learning algorithms for next-gen AI systems
- Lead cross-functional R&D projects integrating quantum computing with neural networks
- Develop quantum-optimized models for complex computational problems in cryptography and optimization
- Publish peer-reviewed research in top-tier journals and present at international conferences
- Collaborate with hardware teams to co-design quantum-AI hybrid architectures
- Secure patents for proprietary quantum-AI methodologies and frameworks
Qualifications
- PhD in Quantum Computing, Machine Learning, or related computational field
- 3+ years of hands-on experience with quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum information theory
- Expertise in deep learning frameworks (PyTorch, TensorFlow) with quantum extensions
- Strong background in linear algebra, quantum mechanics, and probabilistic modeling
- Experience with high-performance computing and distributed systems
- Proven track record of translating theoretical concepts into functional prototypes