Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. We're seeking visionary Quantum AI Research Engineers to architect next-generation algorithms that will redefine computational boundaries. Work in our state-of-the-art facility alongside Nobel laureates and Turing Award winners, leveraging our 1000-qubit quantum processors to solve previously impossible challenges in cryptography, materials science, and climate modeling. Enjoy unparalleled benefits including equity, flexible schedules, and dedicated innovation time.
Responsibilities
- Design and implement hybrid quantum-classical AI architectures for complex optimization problems
- Develop error-correction protocols for fault-tolerant quantum computing systems
- Create novel machine learning algorithms leveraging quantum entanglement principles
- Collaborate with cross-functional teams to prototype quantum solutions for industry partners
- Lead research publications in top-tier quantum computing conferences
- Maintain and optimize quantum simulation environments for algorithm validation
- Mentor junior researchers in quantum machine learning methodologies
Qualifications
- PhD in Quantum Computing, Computer Science, or Physics (Master's with 5+ years experience)
- Proficiency in quantum programming languages (Q#, Qiskit, Cirq)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) with quantum extensions
- Published research in quantum algorithms or quantum machine learning
- Experience with cloud quantum platforms (IBM Quantum, Amazon Braket)
- Strong background in linear algebra, probability theory, and information theory
- Ability to translate complex quantum concepts into practical engineering solutions