Job Description
Join Nexus Future Labs at the bleeding edge of computational intelligence. We're pioneering quantum-enhanced AI systems to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that leverage quantum computing to revolutionize machine learning, optimization, and neural networks. This role offers unparalleled opportunity to shape the technological landscape of 2026 and beyond.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing frameworks for enterprise AI solutions
- Collaborate with physicists to optimize quantum hardware interfaces for AI workloads
- Lead research on quantum neural networks and quantum-enhanced deep learning
- Translate theoretical quantum computing concepts into production-ready code
- Author breakthrough research papers and patents in quantum-AI convergence
- Mentor cross-functional teams in quantum computing principles and applications
Qualifications
- PhD in Quantum Computing, Computer Science, or related field (MS with exceptional experience)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#) and quantum algorithms
- Strong background in machine learning frameworks (TensorFlow, PyTorch) and neural networks
- Experience with quantum hardware simulators and cloud quantum platforms
- Proven track record of peer-reviewed publications in quantum or AI research
- Proficiency in Python, C++, and high-performance computing environments
- Demonstrated ability to translate complex theories into practical implementations
- Passion for ethical AI development and quantum democratization