Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We seek a visionary Quantum AI Research Engineer to develop next-generation algorithms that solve previously impossible computational challenges. In this role, you'll collaborate with Nobel laureates and industry disruptors in our state-of-the-art quantum research facility, shaping the future of machine learning, cryptography, and autonomous systems.
What you'll achieve: Design quantum neural networks, optimize quantum machine learning models, and contribute to breakthroughs in quantum-resistant cryptography. Your work will directly impact industries from healthcare to aerospace, accelerating humanity's transition to the quantum age.
Responsibilities
- Develop and implement quantum machine learning algorithms for real-world applications
- Design hybrid quantum-classical computing architectures for AI acceleration
- Lead research initiatives in quantum neural networks and quantum data analysis
- Collaborate with cross-functional teams to integrate quantum solutions into production systems
- Publish peer-reviewed research and present findings at global tech conferences
- Optimize quantum circuit designs for error mitigation and scalability
- Contribute to patent development for novel quantum-AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent research experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in machine learning algorithms and high-performance computing
- Proficiency in Python, C++, and quantum circuit optimization techniques
- Published research in quantum computing or AI at top-tier conferences
- Strong background in linear algebra, quantum mechanics, and information theory
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)