Job Description
Shape the future at FutureTech Innovations! We're seeking a visionary Quantum AI Research Engineer to pioneer breakthroughs at the intersection of quantum computing and artificial intelligence. Join our elite R&D team in Austin's innovation hub and develop next-gen solutions for global challenges. This is your chance to work with cutting-edge quantum hardware, machine learning algorithms, and autonomous systems that will redefine technology by 2026. We offer competitive compensation, flexible work arrangements, and unparalleled opportunities for professional growth in one of the world's most dynamic tech ecosystems.
Responsibilities
- Design and implement hybrid quantum-classical machine learning algorithms for optimization problems
- Develop quantum neural networks and quantum-enhanced AI models for real-world applications
- Collaborate with quantum hardware engineers to optimize algorithms for emerging quantum processors
- Lead research projects in quantum cryptography and secure AI systems
- Publish peer-reviewed papers and present findings at international conferences
- Mentor junior researchers and contribute to open-source quantum AI frameworks
- Secure research grants and partnerships with leading academic institutions
Qualifications
- PhD in Quantum Computing, Computer Science, Physics, or related field (or equivalent industry experience)
- Expertise in quantum algorithms, quantum machine learning, and quantum programming (Qiskit, Cirq, or Q#)
- Strong background in deep learning frameworks (PyTorch, TensorFlow) and classical AI optimization
- Proficiency in Python, C++, and high-performance computing environments
- Experience with quantum error correction and fault-tolerant computing concepts
- Track record of published research in quantum computing or AI (arXiv, IEEE, Nature)
- Exceptional problem-solving skills and ability to work in cross-functional teams