Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. As a Quantum AI Research Scientist, you'll architect next-gen algorithms merging quantum mechanics with machine learning, solving previously unsolvable problems in cryptography, materials science, and climate modeling. Our Austin hub features state-of-the-art labs and collaborative spaces where Nobel laureates and PhD researchers converge to build the future.
What You'll Achieve:
You'll lead breakthrough research in quantum neural networks, publish high-impact papers, and contribute to open-source quantum frameworks. Your work will directly influence product development in our commercial quantum computing division, serving Fortune 500 clients across aerospace, finance, and healthcare.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for complex optimization problems
- Develop novel error correction techniques for quantum processors
- Collaborate with hardware engineers to optimize quantum circuit architectures
- Lead cross-functional teams translating theoretical models into practical applications
- Author peer-reviewed publications and present findings at international conferences
- Contribute to open-source quantum machine learning frameworks
- Secure research grants and patents for groundbreaking methodologies
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years postdoctoral research
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Published work in quantum machine learning or quantum algorithms
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Demonstrated ability to secure research funding
- Strong background in linear algebra, probability, and information theory
- Track record of cross-disciplinary collaboration