Job Description
Join the forefront of technological evolution at Nexus Quantum Systems, where we're pioneering the next generation of AI-driven quantum computing solutions. We're seeking visionary Quantum AI Research Scientists to architect breakthrough algorithms that will redefine computational possibilities by 2026. Work alongside Nobel laureates in our state-of-the-art Austin research facility, leveraging our proprietary quantum annealing infrastructure to solve previously impossible optimization problems. This role offers unparalleled opportunities to shape the future of machine learning while contributing to projects with global impact in drug discovery, climate modeling, and autonomous systems.
What you'll experience:
- Access to industry-leading quantum hardware and software tools
- Collaborative environment with world-class physicists and AI specialists
- Competitive equity package and comprehensive benefits including sabbatical programs
- Direct impact on patent-pending quantum AI methodologies
Responsibilities
- Design and implement novel quantum machine learning algorithms for complex optimization problems
- Develop hybrid quantum-classical neural network architectures with 99.9% fidelity
- Lead research initiatives in quantum-enhanced reinforcement learning for autonomous systems
- Collaborate with hardware teams to optimize quantum algorithms for error-corrected qubits
- Publish peer-reviewed research in top-tier quantum computing and AI journals
- Present findings at international conferences including QIP and NeurIPS
- Mentor junior researchers and supervise graduate-level quantum AI projects
Qualifications
- PhD in Quantum Computing, Machine Learning, or related computational field
- 3+ years of experience with quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in quantum error correction and fault-tolerant computing architectures
- Published research in quantum machine learning or quantum information theory
- Proficiency with high-performance computing frameworks (CUDA, MPI, TensorFlow Quantum)
- Strong background in advanced mathematics (linear algebra, group theory, topology)
- Demonstrated ability to translate complex quantum concepts into practical implementations