Job Description
Join Nexus Quantum Labs at the forefront of 2026's quantum-AI revolution. We're pioneering the next generation of hybrid quantum-neural systems that will redefine computational boundaries. As a Quantum AI Architect, you'll design scalable quantum algorithms integrated with machine learning frameworks to solve previously unsolvable challenges in drug discovery, climate modeling, and cryptography. Our Austin hub features state-of-the-art quantum hardware and collaborative spaces where your ideas shape tomorrow's reality. We offer competitive equity, unlimited learning stipends, and flexible work arrangements designed for peak innovation.
Responsibilities
- Architect hybrid quantum-classical systems for enterprise-scale AI applications
- Develop error-corrected quantum algorithms optimized for NISQ-era hardware
- Lead cross-functional teams in implementing quantum machine learning pipelines
- Research and implement quantum neural network architectures for pattern recognition
- Collaborate with hardware teams to optimize quantum-classical interfaces
- Drive technical strategy for quantum-AI integration in cloud platforms
- Publish breakthrough research in top-tier journals and conferences
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Deep understanding of quantum machine learning and variational algorithms
- Proven track record of quantum algorithm development for real-world applications
- Strong Python/C++ skills with experience in ML frameworks (PyTorch, TensorFlow)
- Experience with cloud quantum computing platforms (IBM Quantum, Amazon Braket)
- Published research in quantum computing or quantum machine learning
- Ability to translate complex quantum concepts into actionable engineering solutions