Job Description
Join Nexus Labs at the forefront of 2026's technological revolution as we pioneer quantum-AI hybrid systems. We're seeking a visionary Quantum AI Research Scientist to architect next-generation algorithms that merge quantum computing with artificial intelligence. You'll work in our state-of-the-art Austin facility, collaborating with Nobel laureates and industry disruptors to solve humanity's most complex challenges—from climate modeling to personalized medicine. This role offers unparalleled opportunities to publish breakthrough research and shape the future of computational science.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional teams in developing hybrid quantum-classical computing frameworks
- Conduct cutting-edge research in quantum neural networks and optimization
- Translate theoretical models into scalable production-ready systems
- Secure and manage high-stakes research grants and partnerships
- Mentor junior researchers and publish findings in top-tier journals
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (or equivalent experience)
- 5+ years of experience with quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (TensorFlow, PyTorch)
- Proven track record of peer-reviewed publications in quantum/AI fields
- Strong background in linear algebra, quantum mechanics, and algorithm design
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)
- Ability to secure research funding through competitive grants