Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing, cryptography, and machine learning. As a Quantum AI Research Scientist, you'll collaborate with Nobel laureates and Silicon Valley disruptors to solve humanity's grandest challenges.
Our Austin R&D center features state-of-the-art quantum processors and a zero-distraction innovation ecosystem. We offer competitive equity packages, unlimited learning stipends, and the rare opportunity to shape tomorrow's technological landscape today.
Responsibilities
- Design and implement quantum algorithms for AI optimization in next-gen computing architectures
- Lead cross-functional teams to develop hybrid quantum-classical ML models for 2026-era applications
- Conduct cutting-edge research in quantum error correction and fault-tolerant computing
- Publish findings in Nature/Science journals and present at IEEE Quantum Week
- Collaborate with hardware teams to co-design quantum-AI accelerator chips
- Develop IP portfolios covering quantum-AI convergence methodologies
- Mentor postdoctoral researchers in quantum machine learning techniques
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Published research in quantum machine learning or quantum AI optimization
- Expertise in Qiskit, Cirq, or equivalent quantum programming frameworks
- Proficiency with TensorFlow/PyTorch and high-performance computing
- Deep understanding of quantum entanglement and superposition principles
- Demonstrated ability to translate theoretical concepts into practical implementations
- Strong background in cryptography or computational complexity theory