Job Description
Shape the future of artificial intelligence by 2026 at Nexus Future Labs. We're pioneering quantum-enhanced AI systems that will redefine computational boundaries. Join our elite team of visionaries to develop next-generation neural architectures that blend quantum computing with deep learning. This role offers unparalleled opportunity to work at the intersection of quantum mechanics and artificial intelligence, solving humanity's most complex challenges.
Responsibilities
- Design and implement quantum neural networks leveraging Qiskit and Cirq frameworks
- Develop hybrid quantum-classical algorithms for real-time data processing
- Lead research in quantum machine learning optimization techniques
- Collaborate with quantum hardware engineers to bridge theory-practice gaps
- Publish breakthrough research in top-tier AI/quantum journals
- Mentor junior researchers in quantum AI methodologies
- Drive patent development for proprietary quantum AI architectures
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years experience with quantum algorithms and quantum circuit design
- Expert proficiency in Python, TensorFlow, and PyTorch frameworks
- Deep understanding of quantum error correction and decoherence mitigation
- Published research in quantum machine learning or AI optimization
- Experience with cloud quantum computing platforms (IBM Q, Amazon Braket)
- Strong background in high-performance computing and distributed systems