Job Description
Join our pioneering team at Nexus Innovations to architect the quantum AI frontier of 2026. We're seeking visionary researchers to develop next-gen neural-quantum hybrid systems that will redefine computational boundaries. This role offers unparalleled access to our $50M quantum lab and collaboration with Nobel laureates. Shape the future of artificial intelligence at the intersection of quantum mechanics and deep learning.
Responsibilities
- Design and implement quantum neural network architectures for 2026-era computing challenges
- Lead breakthrough research in quantum-entangled machine learning algorithms
- Develop error-correction protocols for practical quantum AI applications
- Collaborate with hardware teams to co-design quantum-classical hybrid systems
- Publish peer-reviewed research in top-tier journals and conferences
- Mentor junior researchers and quantum AI interns
- Secure government and private sector research grants
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with AI specialization
- 3+ years of hands-on quantum algorithm development experience
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Publication record in Nature/Science or equivalent venues
- Proficiency in Python, TensorFlow, and quantum circuit optimization
- Deep understanding of quantum error correction techniques
- Proven ability to secure research funding ($1M+ preferred)