Job Description
Join Nexus Labs at the forefront of technological evolution as we pioneer the next frontier of quantum-AI convergence. We're seeking a visionary 2026 Quantum AI Research Scientist to architect breakthrough systems that will redefine computing paradigms. In this pivotal role, you'll develop hybrid quantum-neural architectures, design fault-tolerant algorithms, and collaborate with Nobel laureates to solve humanity's grandest challenges.
Our multidisciplinary team operates at the intersection of quantum physics, machine learning, and computational biology. You'll leverage our state-of-the-art cryogenic quantum processors and neuromorphic computing infrastructure to accelerate discoveries in drug discovery, climate modeling, and materials science. This isn't just research—it's the blueprint for our collective future.
Responsibilities
- Design and implement quantum machine learning algorithms for NISQ-era hardware
- Develop error mitigation protocols for hybrid quantum-classical systems
- Lead cross-functional projects with quantum hardware and AI engineering teams
- Publish groundbreaking research in top-tier journals and conferences
- Secure $5M+ in government and industry research grants
- Mentor PhD candidates in quantum-AI integration methodologies
- Translate theoretical models into scalable production systems
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 3+ years developing quantum algorithms or quantum machine learning models
- Expertise in Python, C++, and quantum frameworks (Qiskit, Cirq, PennyLane)
- Proven track record of peer-reviewed publications in quantum/AI
- Experience with superconducting or trapped-ion quantum processors
- Deep understanding of tensor networks and quantum error correction
- Strong background in neural network optimization and backpropagation