Job Description
Join Nexus Future Labs at the forefront of 2026's technological revolution as a Quantum AI Research Engineer. We're pioneering the next generation of quantum machine learning systems that will redefine computational boundaries. In this pivotal role, you'll architect and deploy hybrid quantum-classical algorithms solving previously intractable problems in cryptography, materials science, and autonomous systems. Our state-of-the-art facility in San Francisco's tech hub offers unparalleled resources for breakthrough research, including access to quantum processors and petascale computing clusters. Collaborate with Nobel laureates and industry disruptors to shape the very fabric of tomorrow's digital landscape.
Responsibilities
- Design and implement novel quantum machine learning frameworks for complex optimization problems
- Develop error mitigation protocols for quantum-classical hybrid computing architectures
- Create adaptive AI models leveraging quantum-enhanced neural networks
- Lead cross-functional R&D initiatives with physics, materials science, and cybersecurity teams
- Translate theoretical quantum algorithms into production-ready solutions
- Publish peer-reviewed research in top-tier quantum computing journals
- Secure and protect quantum communication channels against emerging cyber threats
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science with 3+ years industry experience
- Expertise in quantum algorithms (QAOA, VQE, Grover's variants)
- Proficiency with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Strong background in machine learning frameworks (PyTorch, TensorFlow)
- Demonstrated experience with quantum error correction techniques
- Published research in quantum machine learning or related fields
- Security clearance eligibility for classified quantum projects