Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer quantum-AI hybrid systems for 2026 and beyond. As a Quantum AI Systems Engineer, you'll architect next-generation computing solutions that merge quantum algorithms with neural networks. Our state-of-the-art lab in San Francisco offers unparalleled resources to transform theoretical possibilities into practical breakthroughs. Collaborate with Nobel laureates and industry disruptors to redefine computational boundaries.
Responsibilities
- Design and implement quantum-AI hybrid architectures for enterprise-scale applications
- Develop error-correction protocols for quantum processors in real-world environments
- Optimize machine learning models for quantum hardware acceleration
- Create simulation frameworks for quantum neural networks
- Lead cross-functional teams in prototyping quantum-AI proof-of-concepts
- Research novel quantum algorithms for unsolvable classical computing problems
- Document technical specifications and patentable innovations
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Expertise in quantum circuit design and quantum machine learning frameworks
- Proficiency in Python, Qiskit, Cirq, and TensorFlow Quantum
- Experience with cryogenic quantum processor interfaces
- Published research in quantum computing or AI alignment
- Strong background in linear algebra, quantum mechanics, and distributed systems
- Certification in quantum hardware operation from recognized institutions