Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence. We're seeking visionary Quantum AI Research Engineers to architect breakthrough solutions in computational optimization, cryptography, and autonomous systems. Our cross-disciplinary team operates at the intersection of quantum physics, machine learning, and advanced algorithm design, pushing the boundaries of what's computationally possible. This role offers unparalleled opportunities to shape emerging paradigms while collaborating with Nobel laureates and industry pioneers in our state-of-the-art facility.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world optimization problems
- Develop hybrid quantum-classical computing architectures for enterprise-scale applications
- Lead research initiatives in quantum-resistant cryptography and secure AI frameworks
- Collaborate with hardware teams to co-design quantum processors and error mitigation protocols
- Publish cutting-edge research in top-tier journals and conferences
- Translate theoretical breakthroughs into patentable technologies and commercial prototypes
- Mentor junior researchers and foster cross-functional innovation
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (or equivalent experience)
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Proficiency in quantum algorithm design and complexity analysis
- Deep understanding of quantum error correction and fault-tolerant architectures
- Strong background in machine learning, particularly deep learning and reinforcement learning
- Publication record in quantum computing or AI research
- Experience with high-performance computing and parallel processing
- Ability to communicate complex concepts to technical and non-technical stakeholders