Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the next generation of quantum-AI hybrid systems. Our multidisciplinary team is developing breakthrough solutions for computational optimization, secure communications, and autonomous decision-making. We seek visionary engineers to shape the future of 2026's digital landscape.
As a Quantum AI Research Engineer, you'll collaborate with world-class scientists to design, implement, and deploy quantum algorithms that leverage machine learning frameworks. Our state-of-the-art facilities in San Francisco offer unparalleled resources for experimental research and practical application development.
Responsibilities
- Design and implement quantum algorithms for machine learning optimization
- Develop hybrid quantum-classical computing architectures for real-world applications
- Conduct experimental validation of quantum supremacy claims
- Collaborate with AI teams to integrate quantum accelerators into neural networks
- Research error correction techniques for fault-tolerant quantum computing
- Author peer-reviewed publications and patent disclosures
- Mentor junior researchers in quantum programming best practices
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (MS with 5+ years experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in machine learning frameworks (TensorFlow, PyTorch)
- Experience with quantum hardware platforms (IBM Q, Rigetti, IonQ)
- Strong background in linear algebra and quantum mechanics
- Publication record in quantum computing or AI research
- Ability to translate theoretical models into practical implementations
- Excellent problem-solving skills for complex computational challenges