Job Description
Join Nexus Future Labs at the forefront of technological evolution. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that redefine computational boundaries. Our multidisciplinary team operates at the intersection of physics, machine learning, and distributed systems in a state-of-the-art lab environment. Benefit from industry-leading resources, flexible work arrangements, and direct impact on breakthrough innovations shaping 2026 and beyond.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical computing architectures for optimization problems
- Collaborate with physicists to translate quantum phenomena into practical AI frameworks
- Lead research initiatives in quantum neural networks and quantum-enhanced data analysis
- Author peer-reviewed publications and patent novel quantum AI methodologies
- Mentor junior researchers and contribute to open-source quantum AI ecosystems
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (MS with exceptional experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Deep expertise in machine learning frameworks (PyTorch, TensorFlow) and algorithm optimization
- Published research in quantum machine learning or quantum information theory
- Experience with high-performance computing and distributed systems
- Demonstrated ability to translate theoretical concepts into production-ready solutions
- Strong background in linear algebra, probability, and computational complexity