Job Description
Join Nexus Quantum Labs at the forefront of 2026's technological revolution. We're pioneering quantum-AI hybrid systems that will redefine computational boundaries. Our multidisciplinary team operates at the intersection of quantum physics, machine learning, and advanced algorithm development. This role offers unparalleled opportunities to shape the next generation of intelligent systems while working in our state-of-the-art San Francisco facility. We provide comprehensive benefits, flexible work arrangements, and a culture that celebrates bold innovation.
Responsibilities
- Design and implement quantum machine learning algorithms for next-generation AI systems
- Lead research on quantum neural network architectures and hybrid quantum-classical models
- Collaborate with cross-functional teams to prototype and validate quantum computing solutions
- Develop scalable quantum algorithms for optimization and simulation problems
- Publish cutting-edge research in top-tier scientific journals and conferences
- Secure external funding through grant proposals and industry partnerships
- Mentor junior researchers and foster a culture of scientific excellence
Qualifications
- PhD in Quantum Computing, Machine Learning, Physics, or Computer Science
- 3+ years of hands-on experience with quantum programming frameworks (Qiskit, Cirq, or Q#)
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and high-performance computing
- Published research in quantum machine learning or quantum algorithms
- Strong background in linear algebra, probability theory, and computational complexity
- Experience with cloud quantum computing platforms (AWS Braket, IBM Quantum)
- Demonstrated ability to translate theoretical concepts into practical implementations