Job Description
Join Nexus Dynamics at the forefront of quantum-AI convergence as we architect the technological landscape of 2026. We're seeking a visionary Research Lead to pioneer breakthroughs in quantum-enhanced machine learning systems. This role demands a blend of deep technical expertise and strategic foresight to develop scalable quantum algorithms that will redefine computational boundaries. You'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art Austin innovation hub, where cutting-edge research meets real-world implementation.
Responsibilities
- Architect quantum-AI hybrid systems for next-generation computational models
- Lead cross-disciplinary teams of physicists, ML engineers, and domain specialists
- Develop patent-pending quantum algorithms for optimization and pattern recognition
- Translate theoretical quantum computing concepts into deployable ML frameworks
- Establish ethical guidelines for quantum-AI applications in critical industries
- Present breakthrough findings at premier global tech conferences
- Secure $5M+ in research grants through compelling technical roadmaps
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 8+ years R&D
- Published research in Nature/Science on quantum-AI integration
- Expertise in Qiskit, Cirq, and quantum error correction methodologies
- Proven track record of scaling ML models to 10M+ parameter systems
- Experience with high-performance computing (HPC) architectures
- Demonstrated ability to secure federal research grants
- Deep understanding of quantum supremacy thresholds and fault tolerance