Job Description
Join Nexus Innovations at the forefront of technological evolution as we engineer the quantum computing landscape of 2026. We seek a visionary Quantum AI Systems Engineer to design and deploy next-generation hybrid quantum-classical architectures that will redefine computational boundaries. This role offers unparalleled opportunities to pioneer breakthroughs in machine learning, cryptography, and autonomous systems while collaborating with Nobel laureates and industry pioneers.
Responsibilities
- Architect scalable quantum AI systems integrating QPU accelerators with classical ML pipelines
- Develop error-correction protocols for fault-tolerant quantum computation
- Optimize quantum algorithms for practical industry applications in finance and biotech
- Lead cross-functional teams in implementing quantum-safe cryptographic frameworks
- Research and prototype novel quantum neural network topologies
- Document system specifications and publish findings in peer-reviewed journals
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- 5+ years developing quantum algorithms or high-performance classical ML systems
- Proficiency in Qiskit, Cirq, or similar quantum programming frameworks
- Expertise in Python, C++, and GPU acceleration technologies
- Published research in quantum machine learning or quantum error correction
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)
- Strong background in linear algebra, probability theory, and information theory