Job Description
Join NexusLabs at the forefront of technological evolution as we pioneer breakthroughs in quantum-enhanced artificial intelligence. Our interdisciplinary team is developing next-gen systems that will redefine computing paradigms by 2026. This role offers unparalleled opportunities to shape the future of human-machine collaboration in a state-of-the-art research environment.
Responsibilities
- Design and implement quantum machine learning algorithms for 2026-era computational challenges
- Lead research initiatives in quantum neural networks and hybrid quantum-classical architectures
- Collaborate with hardware teams to optimize AI models for quantum processors
- Publish findings in top-tier journals and present at global tech conferences
- Drive prototyping of quantum AI applications in cryptography, optimization, and simulation
- Mentor junior researchers and cross-functional engineering teams
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics with 3+ years research experience
- Expertise in quantum algorithms (QAOA, VQE, quantum neural networks)
- Proficiency in Python with quantum frameworks (Qiskit, Cirq, PennyLane)
- Strong publication record in quantum AI or related fields
- Experience with high-performance computing and GPU acceleration
- Demonstrated ability to translate theoretical concepts into experimental prototypes