Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of AI-driven quantum systems. We're seeking visionary Quantum AI Systems Engineers to architect hybrid classical-quantum computing solutions that will redefine computational boundaries by 2026. This role offers unparalleled opportunity to shape the future of machine learning, cryptography, and complex system optimization.
Our state-of-the-art facility in San Francisco's Innovation District provides an environment where groundbreaking ideas meet real-world implementation. You'll collaborate with Nobel laureates and industry disruptors to develop quantum neural networks, error-corrected algorithms, and autonomous optimization frameworks that will power the next technological revolution.
Responsibilities
- Design and implement hybrid quantum-classical computing architectures for AI optimization
- Develop error-corrected quantum algorithms for machine learning and cryptography applications
- Create simulation frameworks for quantum neural networks using advanced computational methods
- Lead cross-functional teams in prototyping quantum-accelerated AI solutions
- Research and implement fault-tolerant quantum computing techniques for industrial-scale deployment
- Optimize quantum-classical interfaces for real-time decision-making systems
- Document quantum system architectures and publish breakthrough research findings
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field (Master's with exceptional experience)
- 5+ years experience in quantum algorithm development or quantum machine learning
- Expertise in quantum programming languages (Q#, Qiskit, Cirq) and simulation frameworks
- Strong background in AI/ML frameworks (TensorFlow, PyTorch) and high-performance computing
- Published research in quantum computing or quantum information theory
- Experience with quantum hardware integration (IBM Quantum, Rigetti, IonQ)
- Deep understanding of quantum error correction and fault-tolerance techniques