Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution! We're seeking a visionary Quantum AI Research Scientist to pioneer the next generation of hybrid quantum-neural systems. This role offers unparalleled opportunities to shape the future of artificial intelligence and computational science in our state-of-the-art Austin facility.
As a key member of our elite R&D team, you'll collaborate with Nobel laureates and industry disruptors to develop breakthrough algorithms that merge quantum computing with advanced machine learning. Our culture celebrates bold innovation, flexible experimentation, and rapid prototyping in a supportive, high-impact environment.
Responsibilities
- Design and implement quantum-enhanced machine learning algorithms for complex data modeling
- Lead research on quantum neural networks and hybrid quantum-classical architectures
- Develop novel error correction techniques for scalable quantum computing systems
- Collaborate with hardware teams to optimize quantum-AI integration pipelines
- Publish groundbreaking research in top-tier journals and conferences
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Physics, Computer Science, or related field with 3+ years research experience
- Expertise in quantum computing frameworks (Qiskit, Cirq, or Q#)
- Proficiency in Python, TensorFlow/PyTorch, and quantum machine learning libraries
- Published work in quantum information science or AI research
- Deep understanding of quantum algorithms and complexity theory
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Strong problem-solving skills and ability to work in cross-functional teams