Job Description
Join Nexus Future Labs at the forefront of technological evolution as we pioneer quantum-AI integration for 2026 and beyond. We're seeking a visionary Quantum AI Engineer to architect next-gen systems that will redefine computational boundaries. This role offers unparalleled opportunity to shape humanity's technological trajectory while working with Nobel laureates and industry pioneers in our state-of-the-art quantum lab.
Our cross-disciplinary team combines quantum physics, machine learning, and predictive modeling to solve previously unsolvable challenges. You'll develop hybrid quantum-classical algorithms, optimize quantum neural networks, and contribute to breakthrough applications in cryptography, drug discovery, and climate modeling. This isn't just a job – it's your chance to build the computational foundation for 2026.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen AI systems
- Develop error-corrected quantum neural networks with 1000+ qubit scalability
- Create hybrid quantum-classical computing frameworks for real-world applications
- Optimize quantum circuits for NISQ-era hardware limitations
- Lead research on quantum-inspired classical algorithms for near-term deployment
- Collaborate with physicists to translate quantum phenomena into practical AI solutions
- Document breakthrough methodologies in peer-reviewed publications
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 (TensorFlow Quantum, PyTorch)
- Published research in quantum machine learning or quantum algorithms
- Experience with superconducting quantum processors or ion trap systems
- Strong background in complex algorithm optimization
- Ability to translate theoretical concepts into practical implementations
- Track record of innovative problem-solving in emerging tech domains