Job Description
Shape the future at Nexus Quantum Labs, where we're pioneering the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Engineer, you'll develop groundbreaking algorithms that solve previously impossible computational challenges. Our Austin-based lab offers state-of-the-art facilities and a collaborative environment dedicated to accelerating quantum innovation. Join our team of world-class researchers to transform theoretical possibilities into real-world applications across cryptography, materials science, and autonomous systems.
Responsibilities
- Design and implement quantum algorithms leveraging AI/ML techniques for error correction and optimization
- Develop hybrid quantum-classical computing frameworks for complex problem-solving
- Lead research initiatives in quantum machine learning and neural network acceleration
- Collaborate with hardware teams to prototype quantum computing architectures
- Publish breakthrough research in top-tier journals and conferences
- Secure patents for novel quantum AI methodologies and applications
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience in quantum algorithm development or quantum machine learning
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Strong foundation in linear algebra, probability, and computational complexity
- Published research in quantum computing or AI/ML domains
- Experience with high-performance computing environments and parallel processing
- Proficiency in Python, TensorFlow/PyTorch, and quantum simulation frameworks