Job Description
Join our elite 2026 Innovation Lab at FutureTech Innovations, where quantum computing meets artificial intelligence to redefine tomorrow. We're seeking a pioneering Quantum AI Research Engineer to architect breakthrough solutions at the intersection of quantum mechanics and machine learning. This role offers unparalleled opportunities to shape the next generation of computational intelligence while working with industry-leading quantum hardware and AI frameworks.
As a key member of our cross-disciplinary team, you'll develop novel quantum algorithms, optimize AI models for quantum processors, and contribute to patent-pending research that will accelerate humanity's technological evolution. We provide cutting-edge resources, flexible work arrangements, and a culture where your visionary ideas become reality.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI applications
- Optimize neural networks and deep learning models for quantum computing architectures
- Lead research initiatives in quantum neural networks and hybrid quantum-classical systems
- Collaborate with quantum hardware engineers to develop custom quantum AI accelerators
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and foster innovation through quantum AI hackathons
- Translate theoretical quantum AI concepts into scalable production solutions
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and quantum circuit design
- Proven track record of publishing quantum AI research in peer-reviewed venues
- Mastery of Python, TensorFlow, and PyTorch for quantum AI model development
- Strong background in quantum algorithms (Shor's, Grover's, VQE) and error correction
- Experience with cloud quantum platforms (IBM Quantum, AWS Braket, Azure Quantum)
- Demonstrated ability to lead complex technical projects from concept to deployment