Job Description
Join the quantum revolution at Nexa Quantum Labs, where we're pioneering the intersection of quantum computing and artificial intelligence. As a Quantum Machine Learning Engineer, you'll architect next-gen algorithms that leverage quantum supremacy to solve previously unsolvable computational challenges. Our Austin-based R&D hub offers state-of-the-art quantum hardware and a culture of radical innovation.
Shape the future of AI by developing quantum neural networks, hybrid quantum-classical models, and optimization frameworks that will redefine machine learning. You'll collaborate with Nobel Prize-winning physicists and AI visionaries in an environment where your breakthroughs could transform industries from drug discovery to climate modeling.
Responsibilities
- Design and implement quantum machine learning algorithms for NLP, computer vision, and optimization tasks
- Develop hybrid quantum-classical frameworks for practical enterprise applications
- Create error-mitigation strategies for noisy quantum systems
- Lead quantum computing projects using platforms like IBM Quantum and Rigetti
- Collaborate with AI researchers to translate quantum algorithms into production-ready solutions
- Publish research in top-tier journals and present at quantum computing conferences
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- Expertise in quantum algorithms (QAOA, VQE, quantum neural networks)
- Proficiency in Python, Qiskit, and quantum circuit design
- Strong background in machine learning frameworks (TensorFlow, PyTorch)
- Experience with quantum error correction and fault tolerance techniques
- Published research in quantum computing or quantum machine learning
- Ability to work with cross-disciplinary teams in fast-paced R&D environments