Job Description
Join Nexus Labs at the forefront of 2026's quantum-AI revolution. We're pioneering next-gen computational paradigms that will redefine machine learning and cryptography. As a Quantum AI Research Engineer, you'll develop hybrid quantum-classical systems to solve previously intractable problems in drug discovery, climate modeling, and autonomous systems.
What You'll Achieve: Design quantum algorithms for neural network acceleration, prototype error-corrected qubit architectures, and publish breakthrough research in top-tier journals. Collaborate with Nobel laureates and industry pioneers to shape the future of computational intelligence.
Responsibilities
- Design and implement quantum machine learning frameworks using Qiskit and Cirq
- Develop error-correction protocols for fault-tolerant quantum processors
- Create hybrid quantum-classical pipelines for optimization problems
- Lead cross-functional teams in prototyping quantum hardware-software interfaces
- Secure $2M+ in research grants for quantum-AI initiatives
- Publish 3+ papers at IEEE Quantum Week or similar conferences
- Mentor PhD researchers in quantum algorithm development
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Expertise in quantum circuit optimization and error mitigation
- Proficiency with Python, C++, and quantum SDKs (Qiskit, PennyLane)
- Published research in quantum machine learning or quantum algorithms
- Experience with superconducting qubit systems or ion trap technologies
- Strong background in linear algebra and quantum information theory
- Track record of securing federal or industry research funding