Job Description
Join Nexus Quantum Systems at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational paradigms. As a Quantum AI Research Scientist, you'll develop cutting-edge algorithms at the intersection of quantum mechanics and machine learning, contributing to breakthroughs in cryptography, optimization, and neural network acceleration. Our state-of-the-art lab in downtown San Francisco offers unparalleled resources for experimentation and collaboration with world-class researchers.
Responsibilities
- Design and implement quantum machine learning algorithms for next-gen computational models
- Develop hybrid quantum-classical neural networks with 100+ qubit coherence
- Lead R&D projects in quantum cryptography and post-quantum security protocols
- Collaborate with hardware teams to optimize quantum-AI system integration
- Publish breakthrough research in top-tier journals and conferences
- Mentor junior researchers and drive innovation workshops
Qualifications
- PhD in Quantum Computing, Machine Learning, or Physics (or equivalent experience)
- 3+ years of hands-on quantum algorithm development experience
- Proficiency in quantum programming frameworks (Qiskit, Cirq, or Q#)
- Deep understanding of tensor networks and quantum neural architectures
- Published research in quantum machine learning or related fields
- Strong Python/C++ skills with high-performance computing experience
- Experience with cloud-based quantum simulators (IBM Quantum, Amazon Braket)