Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI integration. Our 2026 initiative aims to revolutionize computational paradigms through groundbreaking research in quantum machine learning and autonomous systems. This role offers unparalleled opportunity to shape the future of intelligent computing in a dynamic, collaborative environment.
We seek visionary engineers to develop scalable quantum algorithms, hybrid quantum-classical architectures, and next-gen AI frameworks. Your work will directly impact industries ranging from drug discovery to climate modeling, pushing the boundaries of what's possible in the quantum decade.
Responsibilities
- Design and implement novel quantum algorithms for AI optimization and pattern recognition
- Develop hybrid quantum-classical neural networks for exponential computational gains
- Lead research in quantum error correction for large-scale AI applications
- Create simulation frameworks for quantum-AI hybrid systems
- Collaborate with cross-functional teams to integrate quantum solutions into production systems
- Publish peer-reviewed research and contribute to open-source quantum-AI frameworks
- Mentor junior researchers in quantum computing principles and AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience in quantum algorithm development or quantum machine learning
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra, probability theory, and information theory
- Demonstrated ability to publish research in top-tier quantum/AI conferences
- Experience with cloud quantum computing platforms (IBM Quantum, AWS Braket)