Job Description
Join Nexus Quantum Labs at the forefront of technological revolution as we pioneer the convergence of quantum computing and artificial intelligence. Our multidisciplinary team is developing next-generation quantum neural networks that will redefine computational capabilities by 2026. This role offers unparalleled opportunity to shape the future of technology while working with Nobel Prize-winning researchers and cutting-edge hardware.
We provide comprehensive benefits including equity grants, flexible remote options, and a $15,000 annual innovation stipend for personal research projects. Our state-of-the-art facility in San Francisco's tech hub fosters collaboration across physics, computer science, and AI disciplines.
Responsibilities
- Design and implement quantum algorithms for machine learning applications
- Develop hybrid quantum-classical neural network architectures
- Collaborate with hardware teams to optimize quantum circuits for AI workloads
- Lead research initiatives in quantum error correction for neural networks
- Publish findings in top-tier journals and present at international conferences
- Mentor junior researchers and contribute to open-source quantum AI frameworks
Qualifications
- PhD in Quantum Computing, Physics, or Computer Science (or equivalent experience)
- Expertise in quantum machine learning algorithms and tensor networks
- Proficiency in quantum programming languages (Qiskit, Cirq, or Q#)
- Strong background in deep learning frameworks (PyTorch/TensorFlow)
- Published research in quantum computing or quantum information theory
- Experience with superconducting or trapped-ion quantum systems
- Ability to translate complex quantum concepts into practical AI solutions