Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the quantum-AI convergence for 2026. We seek a visionary Research Engineer to architect next-generation quantum neural networks and hybrid quantum-classical systems. You'll collaborate with Nobel laureates and industry disruptors to solve humanity's most complex challenges in cryptography, drug discovery, and climate modeling. This role offers unparalleled access to our 128-qubit quantum processors and dedicated AI supercomputing cluster.
Responsibilities
- Design and implement quantum machine learning algorithms for real-world applications
- Develop hybrid quantum-classical frameworks for optimization problems
- Lead research on quantum error correction techniques for fault-tolerant computing
- Create simulation environments for quantum neural networks
- Collaborate with hardware teams to optimize quantum-AI interfaces
- Publish breakthrough research in leading quantum computing journals
- Present findings at premier conferences like Q2B and IEEE Quantum Week
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum programming languages (Qiskit, Cirq, Q#)
- Proven track record in quantum machine learning research
- Strong background in linear algebra, quantum mechanics, and information theory
- Experience with NISQ-era quantum hardware and simulators
- Publication record in quantum computing or related fields
- Proficiency in Python/C++ and high-performance computing frameworks