Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next generation of Quantum-AI hybrid systems. Our Austin-based research center is seeking visionary Quantum AI Research Scientists to develop breakthrough algorithms that will redefine computational capabilities by 2026. You'll collaborate with Nobel laureates and industry disruptors in an environment where theoretical physics meets machine learning excellence. This role offers unparalleled opportunities to publish in top-tier journals, shape industry standards, and contribute to projects with global impact.
We provide a competitive compensation package including equity, flexible remote work options, and access to state-of-the-art quantum computing infrastructure. Your work will directly influence the trajectory of artificial intelligence in the post-classical computing era.
Responsibilities
- Design and implement novel quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical neural architectures for 2026-era applications
- Lead cross-functional research teams in prototyping next-gen AI systems
- Author peer-reviewed publications and patent applications in quantum computing
- Collaborate with hardware engineers to optimize quantum error correction protocols
- Translate theoretical quantum models into practical AI frameworks
- Identify emerging quantum computing threats and opportunities for AI advancement
Qualifications
- PhD in Quantum Computing, Theoretical Physics, or Computer Science
- 3+ years of experience in quantum algorithm development or quantum machine learning
- Proficiency with quantum programming frameworks (Qiskit, Cirq, or PennyLane)
- Published research in quantum computing or AI (arXiv, IEEE, Nature)
- Deep understanding of quantum entanglement and superposition principles
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to communicate complex quantum concepts to technical stakeholders