Job Description
Shape the future of technology as a Quantum AI Research Engineer at Nexus Dynamics. We're pioneering the intersection of quantum computing and artificial intelligence to solve humanity's most complex challenges. Join our elite team of visionaries working in state-of-the-art labs, collaborating with Nobel laureates and industry disruptors. This role offers unparalleled opportunities to publish groundbreaking research, lead innovative projects, and contribute to technologies that will redefine 2026 and beyond.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing frameworks for optimization problems
- Lead cross-functional teams in prototyping next-gen quantum AI systems
- Author peer-reviewed research papers and contribute to open-source quantum platforms
- Collaborate with hardware teams to optimize quantum circuit performance
- Translate theoretical quantum models into scalable production-ready solutions
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch/TensorFlow) and classical AI
- 3+ years of experience in quantum algorithm development or quantum software
- Strong background in linear algebra, probability, and information theory
- Publication record in top-tier quantum computing or AI conferences