Job Description
Join Nexus Quantum Labs at the forefront of technological evolution as we pioneer the convergence of quantum computing and artificial intelligence. As a Quantum AI Research Scientist, you'll architect next-generation algorithms that redefine computational boundaries. Our state-of-the-art facility in San Francisco's innovation district offers unparalleled resources to accelerate breakthroughs in quantum machine learning. We're seeking visionary minds to solve humanity's most complex challenges—from climate modeling to personalized medicine—through quantum neural networks. Enjoy competitive compensation, flexible research autonomy, and collaboration with Nobel-caliber physicists and AI pioneers.
Responsibilities
- Design and implement hybrid quantum-classical machine learning frameworks
- Develop novel quantum algorithms for optimization and pattern recognition
- Collaborate with hardware teams to mitigate quantum decoherence effects
- Publish peer-reviewed research in top-tier journals and conferences
- Lead cross-functional projects combining quantum physics, AI ethics, and computational theory
- Mentor junior researchers and contribute to open-source quantum AI initiatives
Qualifications
- PhD in Quantum Computing, Machine Learning, or related field
- 3+ years experience with quantum programming languages (Q#, Cirq, or Qiskit)
- Expertise in deep learning frameworks (PyTorch/TensorFlow) and quantum circuit design
- Strong publication record in quantum machine learning or AI research
- Familiarity with quantum error correction protocols and fault-tolerant computing
- Proficiency in high-performance computing environments and parallel processing
- Demonstrated ability to translate theoretical concepts into practical implementations