Job Description
Join Nexus Quantum Solutions at the forefront of technological revolution. We're pioneering quantum-AI integration to solve humanity's most complex challenges. As an AI/ML Engineer specializing in quantum computing, you'll architect next-generation algorithms that redefine computational boundaries. Our Austin hub offers a dynamic environment where innovation meets impact, with competitive benefits and cutting-edge resources.
Responsibilities
- Develop quantum-enhanced machine learning models for real-world applications
- Collaborate with quantum physicists to translate theoretical models into practical implementations
- Design scalable AI frameworks optimized for quantum hardware architectures
- Lead R&D initiatives in quantum neural networks and hybrid quantum-classical systems
- Publish breakthrough research in top-tier scientific journals and conferences
- Mentor junior engineers and drive technical excellence across cross-functional teams
Qualifications
- PhD in Computer Science, Physics, or related field (or equivalent experience)
- 5+ years in machine learning with proven expertise in TensorFlow/PyTorch
- Strong background in quantum computing algorithms (QML, VQE, QAOA)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Published research in quantum machine learning or AI optimization
- Experience with high-performance computing clusters and GPU acceleration
- Track record of deploying production-level quantum-AI hybrid systems