Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Scientist, you'll design and implement next-generation algorithms that push the boundaries of computational possibility. Our Austin-based hub offers state-of-the-art facilities and a collaborative environment where your work will directly impact breakthroughs in drug discovery, climate modeling, and materials science. We value visionary thinkers who thrive at the intersection of theoretical physics and machine learning innovation.
Responsibilities
- Develop novel quantum algorithms for AI applications using Qiskit and Cirq frameworks
- Design hybrid quantum-classical neural networks for pattern recognition and optimization
- Lead research initiatives in quantum machine learning and quantum-inspired classical algorithms
- Collaborate with hardware teams to co-design quantum processors optimized for AI workloads
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to open-source quantum AI libraries
Qualifications
- PhD in Physics, Computer Science, or related field with 3+ years quantum computing experience
- Expertise in quantum algorithms, quantum error correction, and quantum machine learning
- Proficiency in Python, TensorFlow/PyTorch, and quantum programming languages
- Strong publication record in quantum computing or AI research
- Deep understanding of quantum hardware architectures (superconducting, trapped ion)
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)