Job Description
Join Nexus Labs at the forefront of technological revolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking visionary researchers to develop next-generation algorithms that bridge quantum computing and artificial intelligence. Our interdisciplinary team operates at the intersection of physics, computer science, and machine learning to solve humanity's most complex challenges. Enjoy unparalleled resources, flexible work arrangements, and competitive equity packages as you shape the future of computational intelligence.
Responsibilities
- Design and implement novel quantum-AI hybrid algorithms for optimization and machine learning
- Collaborate with quantum hardware engineers to develop fault-tolerant AI architectures
- Publish groundbreaking research in top-tier journals and conferences
- Lead cross-functional projects integrating quantum computing with neural networks
- Secure external funding through grants and industry partnerships
- Mentor junior researchers and contribute to patent development
Qualifications
- PhD in Quantum Computing, Machine Learning, Physics, or Computer Science
- 3+ years experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in deep learning frameworks (TensorFlow/PyTorch) and quantum algorithms
- Published research in quantum machine learning or related fields
- Strong background in linear algebra, probability theory, and quantum mechanics
- Experience with high-performance computing and cloud platforms (AWS/GCP/Azure)
- Proven ability to translate theoretical concepts into practical implementations