Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. As a Quantum AI Research Scientist, you'll design and implement cutting-edge algorithms that will redefine computing capabilities by 2026. Our multidisciplinary team combines quantum physics, machine learning, and computational theory to solve humanity's most complex challenges. We offer competitive compensation, flexible work arrangements, and access to state-of-the-art quantum computing infrastructure. Be part of the team that builds tomorrow's technological foundation today.
Responsibilities
- Develop novel quantum machine learning algorithms for near-term quantum processors
- Design hybrid quantum-classical neural architectures for 2026-era applications
- Lead cross-functional research initiatives in quantum cryptography and AI optimization
- Publish breakthrough findings in top-tier journals and conferences
- Collaborate with hardware teams to co-design quantum-AI accelerator chips
- Mentor junior researchers and drive innovation in quantum software development
Qualifications
- PhD in Quantum Computing, Computer Science, or related field with 3+ years of research experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, or PennyLane)
- Proven track record of publishing in quantum/AI conferences (e.g., QIP, NeurIPS)
- Strong programming skills in Python, C++, and quantum assembly languages
- Deep understanding of quantum error correction and fault-tolerant computing principles
- Experience with large-scale distributed computing environments
- Ability to translate theoretical concepts into practical implementations