Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as our 2026 Quantum AI Research Lead. We're pioneering the convergence of quantum computing and artificial intelligence to solve humanity's most complex challenges. In this pivotal role, you'll architect next-generation quantum algorithms that will redefine computational boundaries by 2026. You'll lead a multidisciplinary team of quantum physicists, machine learning engineers, and domain experts to develop breakthrough systems for cryptography optimization, molecular modeling, and autonomous decision-making. This is your chance to shape the very fabric of tomorrow's digital landscape.
Responsibilities
- Design and implement quantum machine learning algorithms leveraging 2026-era quantum processors
- Lead cross-functional research teams to develop quantum-optimized AI frameworks
- Collaborate with hardware teams to co-design quantum-classical hybrid architectures
- Translate theoretical quantum computing concepts into practical enterprise solutions
- Establish industry benchmarks for quantum AI performance and scalability
- Secure patents for novel quantum algorithmic methodologies
- Present research findings at premier conferences and publish in top-tier journals
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field with 8+ years research experience
- Proven expertise in quantum circuit design and error mitigation techniques
- Publication record in Nature/Science or equivalent quantum computing journals
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Deep understanding of quantum-classical hybrid system architectures
- Experience leading research teams with publication output
- Knowledge of 2026-era quantum hardware roadmaps (fault-tolerant systems)