Job Description
Join Nexus Quantum Labs at the forefront of technological evolution. We're seeking a visionary Quantum AI Research Scientist to architect the next generation of hybrid quantum-classical intelligence systems. As we approach the pivotal year 2026, your work will directly shape how humanity solves previously unsolvable challenges in medicine, climate modeling, and materials science.
Our San Francisco headquarters features a cutting-edge quantum computing lab and collaborative spaces where Nobel laureates and rising innovators converge. You'll lead a team of multidisciplinary researchers while publishing breakthrough papers and contributing to open-source quantum frameworks that will define the industry's future.
Responsibilities
- Design and implement novel quantum neural network architectures for complex problem-solving
- Develop hybrid quantum-classical algorithms for machine learning optimization
- Lead research initiatives in quantum error correction and fault-tolerant computing
- Collaborate with hardware teams to optimize quantum processor performance
- Author peer-reviewed publications and present findings at major conferences
- Mentor junior researchers and drive innovation in quantum AI methodologies
Qualifications
- PhD in Quantum Computing, Physics, Computer Science, or related field
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, PennyLane)
- Expertise in quantum machine learning algorithms and hybrid computing models
- Publication record in top-tier quantum computing or AI conferences
- Deep understanding of quantum error correction and fault-tolerance techniques
- Proficiency in Python, TensorFlow/PyTorch, and high-performance computing
- Strong background in linear algebra, probability theory, and quantum mechanics