Job Description
Join Nexus Future Labs at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking a visionary Quantum AI Research Engineer to develop groundbreaking algorithms that will redefine computational capabilities. Our interdisciplinary team operates at the intersection of physics, machine learning, and advanced mathematics, pushing the boundaries of what's possible in 2026 and beyond. This role offers unparalleled access to cutting-edge quantum hardware and collaborative research opportunities with global industry leaders.
Responsibilities
- Design and implement quantum machine learning models leveraging Qiskit and TensorFlow Quantum
- Develop hybrid quantum-classical algorithms for optimization and simulation problems
- Conduct research in quantum neural networks and quantum-enhanced deep learning
- Collaborate with hardware teams to optimize quantum circuit performance
- Publish findings in top-tier journals and present at international conferences
- Lead open-source initiatives in quantum AI development
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of experience in quantum algorithm development
- Proficiency with quantum programming frameworks (Qiskit, Cirq, Q#)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Published research in quantum information or quantum machine learning
- Expertise in high-performance computing and parallel processing
- Experience with cloud-based quantum computing platforms (IBM Quantum, Amazon Braket)
- Demonstrated ability to translate theoretical concepts into practical implementations