Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems to solve humanity's grandest challenges. As a Quantum AI Research Engineer, you'll architect next-gen algorithms that merge quantum computing with neural networks, pushing the boundaries of computational possibility.
Our state-of-the-art facility in San Francisco offers unparalleled resources, including quantum annealers, photonic processors, and a collaborative ecosystem of Nobel laureates and industry disruptors. We provide competitive equity packages, flexible work arrangements, and dedicated innovation time.
Responsibilities
- Design and implement quantum machine learning frameworks for real-world applications
- Develop hybrid quantum-classical algorithms for optimization and simulation
- Collaborate with hardware teams to co-design quantum-AI system architectures
- Lead cross-functional research initiatives in quantum cryptography and AI safety
- Publish breakthrough research in top-tier journals and conferences
- Translate theoretical models into scalable prototypes with industry partners
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Proficiency in quantum programming languages (Qiskit, Cirq, Q#)
- Expertise in deep learning frameworks (PyTorch, TensorFlow)
- Publication record in quantum machine learning or related fields
- Experience with high-performance computing and distributed systems
- Demonstrated ability to translate complex theory into practical solutions