Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum AI solutions for 2026 and beyond. Our multidisciplinary team is developing next-generation machine learning frameworks that leverage quantum computing to solve humanity's most complex challenges. This role offers unparalleled opportunities to shape the future of artificial intelligence while working in our state-of-the-art research facility.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Lead cross-functional research projects in quantum neural networks and hybrid quantum-classical systems
- Publish breakthrough research in top-tier scientific journals and conferences
- Collaborate with hardware engineers to optimize quantum-AI integration
- Develop scalable solutions for climate modeling, drug discovery, and financial forecasting
- Mentor junior researchers and foster an innovative research culture
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming (Qiskit, Cirq, or similar)
- Strong publication record in AI/ML or quantum information science
- Expertise in Python, TensorFlow/PyTorch, and high-performance computing
- Deep understanding of quantum error correction and noise mitigation
- Proven ability to translate theoretical concepts into practical implementations