Job Description
Join Nexus Future Labs at the forefront of 2026's quantum-AI revolution. We're pioneering next-generation computational paradigms that will redefine industries. As a Quantum AI Research Engineer, you'll develop hybrid quantum-classical systems to solve previously impossible optimization problems in cryptography, drug discovery, and climate modeling. Our state-of-the-art lab features 128-qubit processors and collaborative research pods where your innovations could shape humanity's technological future.
Responsibilities
- Design and implement quantum algorithms for AI model acceleration
- Optimize quantum circuits for error correction in real-time systems
- Collaborate with cross-functional teams to prototype quantum-AI applications
- Develop novel hybrid machine learning frameworks leveraging quantum advantage
- Lead research publications in top-tier quantum computing conferences
- Secure patents for breakthrough quantum-AI methodologies
- Mentor junior researchers in quantum programming best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Expertise in Qiskit, Cirq, or quantum circuit design frameworks
- Proficiency in Python/C++ with quantum machine learning libraries
- Published research in quantum algorithms or quantum-AI integration
- Experience with D-Wave or IBM quantum hardware systems
- Strong background in linear algebra and quantum mechanics
- Track record of translating theoretical research into practical implementations