Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're pioneering 2026-ready quantum AI systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms merging quantum computing with machine learning to solve humanity's most complex challenges. Collaborate with Nobel laureates and disruptors in our Austin R&D hub, equipped with cutting-edge quantum processors. This isn't just research—it's the blueprint for the next technological revolution.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational frameworks
- Lead cross-functional teams in developing hybrid quantum-classical AI pipelines
- Author breakthrough research papers for Nature/Science journals on quantum AI convergence
- Optimize quantum neural networks for real-world applications in drug discovery and climate modeling
- Secure $5M+ in NSF grants to advance quantum AI infrastructure
- Mentor PhD candidates in quantum computing theory and practical implementations
Qualifications
- PhD in Quantum Computing, AI, or related field (postdoc preferred)
- 3+ years hands-on experience with quantum programming frameworks (Qiskit, Cirq)
- Published research in top-tier journals on quantum machine learning
- Expertise in tensor networks and quantum error correction protocols
- Proficiency in Python, TensorFlow, and high-performance computing
- Demonstrated ability to translate theoretical models into scalable prototypes
- Patent portfolio in quantum algorithms or AI optimization