Job Description
Join Nexus Quantum Solutions at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computing paradigms. As a Quantum AI Research Engineer, you'll architect next-gen algorithms, collaborate with Nobel laureates, and shape humanity's digital future in our state-of-the-art San Francisco lab.
Responsibilities
- Design and implement quantum-AI hybrid algorithms for real-world applications
- Lead cross-functional teams in prototyping quantum neural networks
- Develop error-correction protocols for quantum machine learning models
- Publish breakthrough research in top-tier quantum computing journals
- Collaborate with hardware teams to optimize quantum-AI co-design
- Mentor junior researchers on quantum machine learning principles
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Expertise in machine learning frameworks (PyTorch, TensorFlow) with quantum integration
- Publication record in quantum computing or AI research
- Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
- Strong background in quantum information theory and complexity