Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the next generation of quantum-AI hybrid systems in 2026. Our multidisciplinary team is developing breakthrough solutions for climate modeling, drug discovery, and autonomous systems. We offer unparalleled resources, cutting-edge lab facilities, and a culture where your quantum computing expertise will directly shape humanity's future.
Responsibilities
- Design and implement novel quantum algorithms leveraging AI optimization techniques
- Lead research into quantum machine learning architectures for 2026-era applications
- Collaborate with hardware engineers to bridge quantum software and hardware innovations
- Develop computational frameworks for quantum error correction in large-scale systems
- Publish findings in top-tier journals and present at international quantum computing conferences
- Mentor junior researchers in quantum-AI integration methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years experience with quantum programming (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) and quantum neural networks
- Published research in quantum computing or quantum machine learning
- Strong background in quantum error correction and fault-tolerant systems
- Experience with high-performance computing architectures
- Demonstrated ability to translate complex quantum concepts into practical applications