Job Description
Join Nexus Quantum Labs at the frontier of technological evolution. We're pioneering quantum-AI integration systems that will redefine 2026's digital landscape. As a Quantum AI Research Engineer, you'll architect next-gen neural networks leveraging quantum entanglement, develop fault-tolerant quantum algorithms, and collaborate with Nobel laureates in our state-of-the-art San Francisco lab. Our mission: to create the world's first commercially viable quantum-AI hybrid platform by 2026.
Responsibilities
- Design and implement quantum machine learning frameworks for 2026-era applications
- Develop error-corrected quantum circuits for AI acceleration
- Lead cross-functional teams in prototyping quantum-AI hybrid systems
- Author peer-reviewed publications in top-tier quantum computing journals
- Optimize quantum algorithms for real-time data processing pipelines
- Collaborate with hardware teams on quantum processor integration
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with exceptional experience)
- Expertise in quantum programming languages (Q#, Qiskit, Cirq)
- Published research in quantum machine learning or quantum algorithms
- Proficiency with high-performance computing frameworks (TensorFlow, PyTorch)
- Experience with quantum hardware (IBM Quantum, Rigetti, IonQ)
- Strong background in complex algorithm design and optimization